diff --git a/Regression/4-Logistic/README.md b/Regression/4-Logistic/README.md index 15c07a0f9..8a0c3bda1 100644 --- a/Regression/4-Logistic/README.md +++ b/Regression/4-Logistic/README.md @@ -169,33 +169,46 @@ Predicted labels: [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0] ``` -Let's unpack some of those [terms](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html?highlight=classification_report#sklearn.metrics.classification_report) with a confusion matrix to help us measure the performance of our mdoel: +## Better comprehension via a confusion matrix + +While you can get a scoreboard report [terms](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html?highlight=classification_report#sklearn.metrics.classification_report) by printing out the items above, you might be able to understand your model more easily by using a [confusion matrix]() to help us understand how the model is performing. + +> 🎓 A '[confusion matrix](https://en.wikipedia.org/wiki/Confusion_matrix)' (or 'error matrix') is a table that expresses your model's true vs. false positives and negatives, thus gauging the accuracy of predictions. ```python from sklearn.metrics import confusion_matrix confusion_matrix(y_test, predictions) ``` -Take a look at our confusion matrix: +Take a look at your model's confusion matrix: ``` array([[162, 4], [ 33, 0]]) ``` -Let's understand what these numbers mean with an example. Let's say out model can classify between two categories, category 0 and category 1. If your model predicts something as category 0 and it belongs to category 0 in reality we call it a true positive, shown by the top left number. If your model predicts something as category 1 and it belongs to category 0 in reality we call it a false positive, shown by the top right number. If your model predicts something as category 0 and it belongs to category 1 in reality we call it a false negative, shown by the bottom left number. If your model predicts something as category 0 and it belongs to category 0 in reality we call it a true negative, shown by the top left number. +What's going on here? Let's say our model is asked to classify items between two binary categories, category 'pumpkin' and category 'not-a-pumpkin'. + +- If your model predicts something as a pumpkin and it belongs to category 'pumpkin' in reality we call it a true positive, shown by the top left number. +- If your model predicts something as not a pumpkin and it belongs to category 'pumpkin' in reality we call it a false positive, shown by the top right number. +- If your model predicts something as a pumpkin and it belongs to category 'not-a-pumpkin' in reality we call it a false negative, shown by the bottom left number. +- If your model predicts something as not a pumpkin and it belongs to category 'not-a-pumpkin' in reality we call it a true negative, shown by the bottom right number. -![COnfusion Matrix](images/confusion-matrix.png) +![Confusion Matrix](images/confusion-matrix.png) -As you might have guessed we like to have a larger number of true positives and true negatives and a lower number of false negatives and false positives, which implies that the model performs better. +> Infographic by [Jen Looper](https://twitter.com/jenlooper) -Let's now understand more about the terms we saw earlier with the help of confusion matrix: +As you might have guessed it's preferable to have a larger number of true positives and true negatives and a lower number of false positives and false negatives, which implies that the model performs better. + +✅ Q: According to the confusion matrix, how did the model do? A: Not too bad; there are a good number of true positives but also several false negatives. + +Let's revisit the terms we saw earlier with the help of the confusion matrix's mapping of TP/TN and FP/FN: 🎓 Precision: TP/(TP + FN) The fraction of relevant instances among the retrieved instances (e.g. which labels were well-labeled) 🎓 Recall: TP/(TP + FP) The fraction of relevant instances that were retrieved, whether well-labeled or not -🎓 f1-score: (2 * precison * recall)/(precision + recall) A weighted average of the precision and recall, with best being 1 and worst being 0 +🎓 f1-score: (2 * precision * recall)/(precision + recall) A weighted average of the precision and recall, with best being 1 and worst being 0 🎓 Support: The number of occurrences of each label retrieved @@ -205,8 +218,7 @@ Let's now understand more about the terms we saw earlier with the help of confus 🎓 Weighted Avg: The calculation of the mean metrics for each label, taking label imbalance into account by weighting them by their support (the number of true instances for each label). -> Can you think which metric you should use if you want your model to reduce the number of false negatives? - +✅ Can you think which metric you should watch if you want your model to reduce the number of false negatives? ## Visualize the ROC Curve of this Model This is not a bad model; its accuracy is in the 80% range so ideally you could use it to predict the color of a pumpkin given a set of variables. diff --git a/Regression/4-Logistic/images/confusion-matrix.png b/Regression/4-Logistic/images/confusion-matrix.png index e19b0331e..240256bc7 100644 Binary files a/Regression/4-Logistic/images/confusion-matrix.png and b/Regression/4-Logistic/images/confusion-matrix.png differ diff --git a/Regression/4-Logistic/solution/notebook.ipynb b/Regression/4-Logistic/solution/notebook.ipynb index 71bc5604f..be24dd5a3 100644 --- a/Regression/4-Logistic/solution/notebook.ipynb +++ b/Regression/4-Logistic/solution/notebook.ipynb @@ -15,175 +15,8 @@ "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "text/html": [ - "
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- "text/plain": [ - "
" - ] + "text/plain": "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -329,36 +161,32 @@ "metadata": {}, "outputs": [ { - "name": "stderr", "output_type": "stream", + "name": "stderr", "text": [ - "/opt/conda/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 80.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n", - " warnings.warn(msg, UserWarning)\n", - "/opt/conda/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 37.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n", - " warnings.warn(msg, UserWarning)\n" + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 80.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\n/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 37.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\n" ] }, { + "output_type": "execute_result", "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 5, "metadata": {}, - "output_type": "execute_result" + "execution_count": 5 }, { + "output_type": "display_data", "data": { - "image/png": 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -371,26 +199,25 @@ "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 6, "metadata": {}, - "output_type": "execute_result" + "execution_count": 6 }, { + "output_type": "display_data", "data": { - "image/png": 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\n", 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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -421,8 +248,8 @@ "metadata": {}, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ " precision recall f1-score support\n", "\n", @@ -439,7 +266,9 @@ " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\n", " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", " 0 0 0 0 0 1 0 0 0 0 0 0 0 0]\n", - "Accuracy: 0.8140703517587939\n" + "Accuracy: 0.8140703517587939\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n", + " FutureWarning)\n" ] } ], @@ -462,15 +291,15 @@ "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { "text/plain": [ "array([[162, 4],\n", " [ 33, 0]])" ] }, - "execution_count": 9, "metadata": {}, - "output_type": "execute_result" + "execution_count": 9 } ], "source": [ @@ -484,36 +313,32 @@ "metadata": {}, "outputs": [ { - "name": "stderr", "output_type": "stream", + "name": "stderr", "text": [ - "/opt/conda/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", - " FutureWarning\n", - "/opt/conda/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", - " FutureWarning\n" + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n FutureWarning\n/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n FutureWarning\n" ] }, { + "output_type": "execute_result", "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, "metadata": {}, - "output_type": "execute_result" + "execution_count": 10 }, { + "output_type": "display_data", "data": { - "image/png": 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\n", 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oCOgC3fqZXZ34FeW1jbyQuI9PdubQLyyIT+aOZ3z/7maXJdqJBLqnsjTA1tegNOvXj7NZID3RmHd+1o1GF8XOvSDrewgfajTmEk7pq9RjPLE6heKqeu45rz8PTRtMgK/02XFnEuiepiLfCOFPb4HsLRASAbQws6HfFLjgCWOs/ITwIdC5R7uWKlqnuKqeRQmprEnKZ2ivYN65NZ6RkdJMyxNIoHuarO9h4zPGKs+r34GR17bu7wmW7d+cjdaa1T8f5ekv0qipt/L7iwZz79QB+HrLDWtPIYHuSTI3QcLvoFM3uH0tRIw2uyLhIHlltSxYlcym9CLOjjaaaQ3qKWsDPI0EuifZ/ndjAdDcbyFYpqu5A5tN8+GOI7y4dj9Wm2bh5bHcOjFGmml5KAl0T1KYaizVlzB3C4eKqpi/IpkdWaVMHhjGC1fHEdVNmqR5Mgl0T1FfCWVHYOBFZlci2shitfHOD4d59esD+Pt48dI1I7l2TKQs2xcS6B6jcJ/xe8QYc+sQbZKWV8GjK/aScrSCS4b3ZPHMEfQIkWZawiCB7ikK04zfYyaZW4dolXqLlde/yeBv32bSJdCXN28czaUjeslVufgfEuieoiANfIMgNNrsSsQZ2p1dyrwVyWQUVnH16AievCyWrtJMS5yCBLqnKEyTJlouprrewsvr0/ngxyz6hHbi/dvPYeoQWcwlTs+un26l1HSlVLpSKkMpNf80x/xGKZWmlEpVSn3k2DJFm2gNBanQM9bsSoSdvj9YxCV/3sz7W7O4ZXxf1j80RcJctKjFK3SllDfwBnARkAvsVEolaK3Tmh0zCHgMmKS1Pq6Uku88Z1JVALWl0GO42ZWIFpTXNPLsl2l8tjuX/uFBfHbvBM6J6WZ2WcJF2DPkMhbI0FofAlBKfQLMBNKaHXM38IbW+jiA1rrQ0YWKNjhxQ7R5LxbhdNalHOPJz1MorW7g/qkDePDCQdJMS5wRewI9Ashp9jwXGHfSMYMBlFJbAG9gkdZ63cl/kVJqLjAXIDpabs51mIKmQO8pV+jOqLCyjkUJqSQmHyO2dwjv3XYOIyJCzS5LuCBH3RT1AQYBU4FIYLNSKk5rXdb8IK31UmApQHx8vHbQZ4uWFKZBUA8ICjO7EtGM1poVPx1l8Zo0ahutPHLJEOZO6S/NtESr2RPoR4GoZs8jm15rLhfYrrVuBA4rpQ5gBPxOh1Qp2kZuiDqd3OM1PL4qhc0Hiojv25Uls0cysEdns8sSLs6eQN8JDFJK9cMI8jnADScdsxq4HnhPKRWGMQRzyJGFilayWaEoHeJvN7sSgdFM65/bsnlx3X4Anr5yODeP74uXNNMSDtBioGutLUqpB4D1GOPj72qtU5VSzwC7tNYJTe9drJRKA6zAI1rrkvYsXNjpeBZYaqGHXKGbLbOoinnLk9iVfZwpg8N5ftYIIrtKMy3hOHaNoWutE4HEk15b2OyxBh5u+iWcSUGq8bsMuZim0Wpj6eZDvLbxIJ18vfnjtaOYPTpClu0Lh5OVou6uMA1Qxv6fosOlHC3n0eVJpOVXMCOuF4uuHE6PYGmmJdqHBLq7K0iFrjHgF2R2JR6lrtHKaxsPsnTzIboG+vHWTaOZPqK32WUJNyeB7u4K98n88w62M6uUecuTOFRczbVjInnislhCA33NLkt4AAl0d9ZYC6WZMHyW2ZV4hKp6Cy+t28+yH7OJ7NqJf945lnMHhZtdlvAgEujuqLEOvlkMxQdB2+SGaAf47kARj69MJq+8ltsmxvDIJUMI8pcfL9Gx5DvOHW35M/z4OnQfCH3Ohr6yqUV7Katp4Jk1aaz86SgDwoNYfu8ExvSVZlrCHBLo7qYkE77/E4yYDde8a3Y1bktrzdqUYyz8PIWymkYeOH8gD1wwUJppCVNJoLsTrSHxEfDxh0ueN7sat1VYUceTn6ewPrWAEREhfHDHWIb3kWZawnwS6O4kbTVkboRLX4LgXmZX43a01ny2O5dn16RRb7Ex/9Kh3DW5Hz7STEs4CQl0d1FXAeseg14jIf5Os6txOzmlNTy2MpkfMooZG9ONJbPj6B8uzbSEc5FAdxffvgCVx+C6D8FbvqyOYrVplv2YxUvr0vFSsPiqEdw4NlqaaQmnJD/57iA/Cba/ZXRUjBxjdjVuI6OwkkeXJ/HTkTKmDgnnuVlxRHTpZHZZQpyWBLqrs9ngy4ehUze4cGHLx4sWNVptvPVtJn/9JoNAf29evW4UV50lzbSE85NAd3V7lkHuTrjqLejU1exqXF5ybjmPLN/L/mOVXD6yN4uuHE5YZ3+zyxLCLhLorqy6GL5+CvpOhlFzzK7GpdU1Wnl1wwHe3nyIsM7+LL15DBcPl5lCwrVIoLuyrxdCQxVc9grIcECrbT9UwvyVyRwurmbOOVE8NmMYoZ2kmZZwPRLozuB4Fny7xAhne9mskJ4Ikx+CHtLrvDUq6xp5cd1+/rXtCFHdOvHhXeOYNFA20hauSwLdDBX5ENLUG7uqEJZdBdVF0CX6zP6eIZfBlEccX58H2LS/kMdXJXOsoo47J/fj9xcPJtBPfhyEa5PvYDNUHTMCva4c/nU1VBXALQkQdY7Zlbm90uoGnvkildU/5zGoR2dW3DeR0dFyM1m4Bwl0szTWwcc3QOF+uOETCfN2prVmTVI+ixJSKa9t5MELB/Hb8wfg7yPNtIT7kEA3g80Cy++A7C0w+x0YOM3sitxaQUUdC1alsGFfASMjQ/nw7nEM7RVidllCOJwEekfT2mhvm54IM/4IcdeYXZHb0lrz7505PJe4jwaLjQUzhnH7pBhppiXclgR6R9v0nBHm582HsXebXY3bOlJSw/yVSWzNLGFcv268OHskMWGyUbZwbxLoHSlvD3z/Cgy+FKbON7sat2S1ad7bcpg/fpWOj5cXz8+KY845UdJMS3gECfSOYrPCmochMAwm3C8LgdpB+rFKHl2RxN6cMi4Y2oPnZo2gd6g00xKeQwK9o+x+D/J+gqvfAf9gs6txKw0WG29+m8EbmzIIDvDltTlnceWoPtJMS3gcCfSOUFUIG56BflOMm6D5P5tdkdvYm1PGo8uTSC+oZOZZfVh4eSzdpZmW8FAS6B3hqyehsQZmSM8VR6ltsPKnr9P5xw+H6REcwDu3xDMttqfZZQlhKgn09lJZAOvmQX0VZHwN5/4BwgebXZVb2JpZzGMrk8kuqeGGcdHMv3QoIQHSTEsICfT2svdjSF0FveIg9io49/f/fa+ztGVtjYq6Rl5I3M/HO47Qt3sgH909jokDpJmWECdIoLeX9LXGhs33fv/L90405hJ225BWwILVyRRV1jN3Sn8emjaYTn6ybF+I5uxaMqeUmq6USldKZSilTjuBWik1WymllVLxjivRBVUXQ852GDLD7EpcXklVPQ9+vIe7lu2ia6Afq+6fxOMzhkmYC3EKLV6hK6W8gTeAi4BcYKdSKkFrnXbSccHA/wHb26NQl3JgHaBhyKVmV+KytNYk7M1jUUIqVfUWHpo2mPumDsDPR5btC3E69gy5jAUytNaHAJRSnwAzgbSTjlsMvAhIg+70tRASAb1HmV2JS8ovr+WJVSls3F/IWVFdeOmakQzuKXP3hWiJPYEeAeQ0e54LjGt+gFJqNBCltf5SKXXaQFdKzQXmAkRHn+FmDq6isRYyv4GzbpApimfIZtN8vPMILyTux2Kz8cRlw7h9Uj+8Zdm+EHZp801RpZQX8CfgtpaO1VovBZYCxMfH67Z+tlM69J0x51zGz8/I4eJq5q9IYvvhUiYO6M6Sq0cS3T3Q7LKEcCn2BPpRIKrZ88im104IBkYA3zYtte4FJCilrtRa73JUoS4jPRH8giFmstmVuASL1ca7Ww7zylcH8PPx4sXZcfwmPkqW7QvRCvYE+k5gkFKqH0aQzwFuOPGm1roc+M9kYKXUt8AfPDLMbTbjhujAC8FHlp+3ZF9+BfNWJJGUW85FsT159qoR9AwJMLssIVxWi4GutbYopR4A1gPewLta61Sl1DPALq11QnsX6TLyfjL2Bx16mdmVOLV6i5U3NmXy5qYMQjv58voNZ3NZXG+5KheijewaQ9daJwKJJ7228DTHTm17WS4qPRGUt2wp9yt+OnKcecuTOFhYxayzI1h4eSxdg/zMLksItyArRVvjWDJ886yxN2hzR3+CvhMhsJs5dTmxmgYLf1x/gPe2HqZXSADv3XYO5w/tYXZZQrgVCfTW2LfGGCuPGPO/r3frDxMeMKcmJ7Ylo5j5K5PIKa3lpvHRzJs+lGBppiWEw0mgt0bVMQgKh7u/MbsSp1Ze28jzX+7j37ty6BcWxL/njmdc/+5mlyWE25JAb42qQugsvbd/zVepx3hidQol1Q3ce94A/t+0QQT4Sv8VIdqTBHprVBVAZxn/PZWiynoWfZHKl0n5DOsdwj9uPYe4yFCzyxLCI0igt0ZVIYTJZhXNaa1Ztecoz6xJo6beyh8uHsw95w3A11uaaQnRUSTQz1TNcblCP8nRsloWrErm2/QiRkcbzbQG9pBmWkJ0NAn0M9FYa2zwbG2QMXSMZlofbs9mydr92DQ8dUUst0yIkWZaQphEAv1MNFRDRb7x2MMD/VBRFfNXJLMjq5RzB4Xx/Kw4orpJMy0hzCSBfiZqSqC6yHjsoUMuFquNt78/zKsbDhDg48XL14zkmjGRsmxfCCcggX4mqoqg9rjx2AM3ek7Lq+DRFXtJOVrBJcN7snjmCHpIMy0hnIYEur0a64w+57VlxnMPukKva7Ty+jcZvPVdJl0C/fjbjaO5NE42uhbC2Uig26uhGhRQdxy8/SHAM+ZW784u5dHlSWQWVTN7dCRPXj6MLoHSTEsIZySBbq+aUvDyMa7QO/d0++3lqustvLw+nQ9+zKJPaCc+uGMs5w0ON7ssIcSvkEC3V00R+AYaV+huPtyy+UARj61MJq+8llvG9+WR6UPp7C/fKkI4O/kptYel3hhyCexmXKH3HGF2Re2ivKaRxV+msXx3Lv3Dg/j0ngmcEyOtgIVwFRLo9mio/u/jWve8Ql+Xks+Tn6dSWt3A/VMH8OCF0kxLCFcjgW6P2uPG+LnNAvUVbrWoqLCyjqc+T2VtyjFie4fw3m3nMCLCM274CuFuJNDtUVUIvp2azUF3/St0rTXLd+fy7Jf7qG208sglQ5g7pb800xLChUmgt8TSAA1VEBRmNOYCCHbtRUU5pTU8viqZ7w8WE9+3K0tmj2Rgj85mlyWEaCMJ9JY0VP33cUWu8Xuway6qsdk0y37M4qX16SjgmZnDuWlcX7ykmZYQbkECvSW15eDVdHMwawv4h0LvUebW1AoZhVXMX5HEruzjTBkczvOzRhDZVZppCeFOJNBbUt00fm6ph5xt0Pfc/wa8C2i02li6+RCvbThIJz9vXrl2FFePjpBmWkK4IQn0X2NtNGa1BHaH7C1GP/ToCWZXZbeUo+U8ujyJtPwKZsT14ukrRxAe7G92WUKIdiKB/mtOjJ8rBYc3g38w9IoztyY71DVaeW3jQZZuPkS3ID/eumk000e45ri/EMJ+Eui/pq4ClJexQ1H2Fog515iP7sR2ZpUyb3kSh4qr+U18JAtmxBIa6Gt2WUKIDuDc6WS2qgJj/PzoT8Zq0X5TzK7otKrqLby0bj/Lfswmsmsn/nXnOCYPCjO7LCFEB5JAPx2rxbhCD+xmDLf4BkHEaGioM7uyX9iUXsiClcnkV9Rx+6QY/nDxEIKkmZYQHkd+6k+noQrQoK2Q9QP0nQDefoDzBPrx6gYWr0lj5Z6jDOzRmeX3TmRM365mlyWEMIkE+unUlRvj53k/GzNd+p9ndkX/obUmMfkYTyWkUFbTyO8uGMgDFwzE38d1plMKIRzPrkBXSk0HXgO8gXe01ktOev9h4C7AAhQBd2itsx1ca8eqLgLfADj8HfgEQORYsysCoLCijidWp/BVWgFxEaEsu2McsX1CzC5LCOEEWgx0pZQ38AZwEZAL7FRKJWit05odtgeI11rXKKXuA14CrmuPgjuEzQp1Zcaq0KwfjLnnPv6gbaaVpLXms125LP4yjQaLjccuHcqdk/vhI820hBBN7LlCHwtkaK0PASilPgFmAv8JdK31pmbHbwNucmSRHa6hCrSGgrsGKZEAAAziSURBVBSjw+KJ4RabFbw7fpQqp7SGx1Ym80NGMWP7dWPJ1XH0D5dmWkKI/2VPOkUAOc2e5wLjfuX4O4G1p3pDKTUXmAsQHR1tZ4kmqKs0xs8Pf2fcCI1qGm6pr4CwwR1WhtWm+WBrFi+vT8fbS/HsVSO4YWy0NNMSQpySQy83lVI3AfHAKe8gaq2XAksB4uPjtSM/26GqC40gP/w9RI0z9hI9MdzSuWNa5x4sqOTRFUnsOVLG1CHhPD8rjj5dOnXIZwshXJM9gX4UiGr2PLLptf+hlJoGLADO01rXO6Y8E9hsxjBLRS7UFP93MVFdOYRGgY9fu358g8XGW99l8vo3GQT5e/Pn685i5ll9pJmWEKJF9gT6TmCQUqofRpDPAW5ofoBS6mzg78B0rXWhw6vsSA1VxtX44R/Ay9eYf661sf1caGS7fnRSbhmPLk9i/7FKrhjVh6euiCWsszTTEkLYp8VA11pblFIPAOsxpi2+q7VOVUo9A+zSWicALwOdgc+ariSPaK2vbMe6209dGaCM8fPIePDrDPWVENQD/ILa5yMbrbz69QHe/v4Q4cH+vH1LPBfFus++pUKIjmHXGLrWOhFIPOm1hc0eT3NwXeapyIPKPKOPy5jbjNca69qty+K2QyXMX5FEVkkN14+NYv6lwwjtJM20hBBnTlaKNtdYa1yNZ28F5Q19JxmvBQRDQBeHflRlXSNL1u7nw+1HiO4WyEd3jWPiQGmmJYRoPQn05urKjfHyw98ZjbgCQqC62NhyzoE3Jb/ZX8CCVSkUVNRx1+R+PHzxYAL95EshhGgbSZHmKvOh6pgx7DLqBmPHIm8/Y8ciByitbuCZL1JZ/XMeg3p05s37JnJ2tDTTEkI4hgT6CdZG42o8Z4exqChmstE+N3xwm/cQ1VrzRVI+ixJSqaxr5P8uHMT95w+QZlpCCIeSQD+hrgJQxs5EveKM7ebqytq8kOhYudFMa8O+AkZFhvLiNeMY2kuaaQkhHE8C/YSqAqgpgdJDMP63xs3R0OhWLyTSWvPJzhye/3IfjTYbC2YM447J/fCWZftCiHYigQ7G6tCqAsj/2Xjed4IxBBMa0aq/LrukmvkrkvnxUAnj+3djydUjiQlrnznsQghxggQ6GE23bBY4sg26xkBAqPHrDBcSWW2a97Yc5o9fpePr5cXzs+KYc06UNNMSQnQICXQwhloaa40r9FHXt2ohUfoxo5nW3pwyLhzag2dnjaB3qDTTEkJ0HAl0raEiHwrTjB4uEWOM+ed2LiRqsNh489sM3tiUQXCAL3+5/myuGNlbmmkJITqcBHpDNVhqjeGWTl2NBlxd+tq1kOjnnDLmLU8ivaCSmWf14akrhtMtqH27MQohxOlIoNeWGTsR5eyAAVONOeidfv3qvLbByitfpfPulsP0CA7gH7fGc+EwaaYlhDCXBHpFHpRmQmO1sRG0XxD4nn7se2tmMfNXJHOktIYbxkUz/9KhhARIMy0hhPk8O9Ab64z+LTk7wNvf2F4u5NRTFSvqGnkhcR8f78ihb/dAPr57PBMGOKYlgBBCOIJnB3pdOaCN7oqR8eDtC4HdfnHYhrQCFqxOpqiynrlT+vPQtMF08pNl+0II5+LZgV6Zb/yqLoTRNxuNuPw6/+ftkqp6Fn2Rxhd78xjaK5ilN8czKsqxbXSFEMJRPDfQrRajGdfR3YAy5p0H9wGl0Frz+c95PP1FKlX1Fh6+aDD3njcAPx8vs6sWQojT8txAr68ANBz5EXoON67MO4eRV1bLE6tT+GZ/IWdFdeGla0YyuGew2dUKIUSLPDfQqwqNMfTiAzB2Lja8+OjnMpasO4DVpnny8lhumxgjzbSEEC7DMwPdZjPGzpuaceUGj+L36zTbj6YxaWB3Xpg1kujugSYXKYQQZ8YzA72hEmwWbEe2UeHfhwvXdcHPx8KLs+P4TXyULNsXQrgkzwz0muOkF9TQP/cn/m2ZzpQIL56dM5Ge3WTjCSGE6/K4QK+3WHnju1wO79rFX32txI2ZyNz4MJSEuRDCxXlUoO/OPs68FUlkFFaxvNsebNYQJsYONBpyCSGEi/OIidU1DRae/iKVa97aSk29hfev6E68ZQ9efScYG0Db2SpXCCGcmdtfof9wsJj5K5PIPV7LzeP78uj0IQSnfgwNVUYzLt9A8JMZLUII1+e2gV5e28hzX6bx6a5c+oUF8e+54xnXv6mZVvYP4OUL4UNP24xLCCFcjVsG+vrUYzy5OoWS6gbumzqA/7twEAG+Tc20rBY4vBn6jAIf/1M24xJCCFfkVoFeVFnPooRUvkzOZ1jvEP5x6znERYb+70E7lhqLisbcZnRX9Jdl/UII9+AWga61ZuVPR3lmTRq1DVYeuWQIc6f0x9f7pHu+FXmw6TmIngA9R0Bwb7u2mhNCCFfg8oF+tKyWx1cm892BIkZHG820BvY4zVX3usfAZoHJD0FjLQSFd2yxQgjRjuwKdKXUdOA1wBt4R2u95KT3/YFlwBigBLhOa53l2FL/l82m+df2bF5cux8NLLoilpsn/EozrYwNkLYazn/CuBFamQ/+sphICOE+Wgx0pZQ38AZwEZAL7FRKJWit05oddidwXGs9UCk1B3gRuK49CgbILKpi/ookdmYd59xBYTw/K46obr8y9bCxDhIfge4DYdKDUHwQOvcEb5f/B4oQQvyHPYk2FsjQWh8CUEp9AswEmgf6TGBR0+PlwOtKKaW11g6sFYCdK1+jy96lvKAgPMyfkDpf1Mct/KGGGig/Ard8bsxs8fKR2S1CCLdjT6BHADnNnucC4053jNbaopQqB7oDxc0PUkrNBeYCREdHt6rgLmE9qejcn+ERoQScyQ5CE34L/ac2/SVR4BPQqs8XQghn1aFjDlrrpcBSgPj4+FZdvQ+aMgemzGlbIX5BbfvzQgjhhOy5xD0KRDV7Htn02imPUUr5AKEYN0eFEEJ0EHsCfScwSCnVTynlB8wBEk46JgG4tenxNcA37TF+LoQQ4vRaHHJpGhN/AFiPMW3xXa11qlLqGWCX1joB+AfwT6VUBlCKEfpCCCE6kF1j6FrrRCDxpNcWNntcB1zr2NKEEEKcCY/ohy6EEJ5AAl0IIdyEBLoQQrgJCXQhhHATyqzZhUqpIiC7lX88jJNWoXoAOWfPIOfsGdpyzn211qdsFWtaoLeFUmqX1jre7Do6kpyzZ5Bz9gztdc4y5CKEEG5CAl0IIdyEqwb6UrMLMIGcs2eQc/YM7XLOLjmGLoQQ4pdc9QpdCCHESSTQhRDCTTh1oCulpiul0pVSGUqp+ad4318p9e+m97crpWI6vkrHsuOcH1ZKpSmlkpRSG5VSfc2o05FaOudmx81WSmmllMtPcbPnnJVSv2n6WqcqpT7q6BodzY7v7Wil1Cal1J6m7+8ZZtTpKEqpd5VShUqplNO8r5RSf2n675GklBrd5g/VWjvlL4xWvZlAf8AP2AvEnnTM/cBbTY/nAP82u+4OOOfzgcCmx/d5wjk3HRcMbAa2AfFm190BX+dBwB6ga9PzHmbX3QHnvBS4r+lxLJBldt1tPOcpwGgg5TTvzwDWAgoYD2xv62c68xX6fzan1lo3ACc2p25uJvBB0+PlwIVKKdWBNTpai+estd6kta5peroNYwcpV2bP1xlgMfAiUNeRxbUTe875buANrfVxAK11YQfX6Gj2nLMGQpoehwJ5HVifw2mtN2PsD3E6M4Fl2rAN6KKU6t2Wz3TmQD/V5tQRpztGa20BTmxO7arsOefm7sT4P7wra/Gcm/4pGqW1/rIjC2tH9nydBwODlVJblFLblFLTO6y69mHPOS8CblJK5WLsv/C7jinNNGf6896iDt0kWjiOUuomIB44z+xa2pNSygv4E3CbyaV0NB+MYZepGP8K26yUitNal5laVfu6Hnhfa/2KUmoCxi5oI7TWNrMLcxXOfIXuiZtT23POKKWmAQuAK7XW9R1UW3tp6ZyDgRHAt0qpLIyxxgQXvzFqz9c5F0jQWjdqrQ8DBzAC3lXZc853Ap8CaK1/BAIwmli5K7t+3s+EMwe6J25O3eI5K6XOBv6OEeauPq4KLZyz1rpcax2mtY7RWsdg3De4Umu9y5xyHcKe7+3VGFfnKKXCMIZgDnVkkQ5mzzkfAS4EUEoNwwj0og6tsmMlALc0zXYZD5RrrfPb9DeafSe4hbvEMzCuTDKBBU2vPYPxAw3GF/wzIAPYAfQ3u+YOOOcNQAHwc9OvBLNrbu9zPunYb3HxWS52fp0VxlBTGpAMzDG75g4451hgC8YMmJ+Bi82uuY3n+zGQDzRi/IvrTuBe4N5mX+M3mv57JDvi+1qW/gshhJtw5iEXIYQQZ0ACXQgh3IQEuhBCuAkJdCGEcBMS6EII4SYk0IUQwk1IoAshhJv4/wJEAsUGWcIHAAAAAElFTkSuQmCC\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -532,10 +357,10 @@ "metadata": {}, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - "0.6976998904709748\n" + "0.6997079225994889\n" ] } ], @@ -552,9 +377,8 @@ "uri": "gcr.io/deeplearning-platform-release/tf2-gpu.2-4:m65" }, "kernelspec": { - "display_name": "Python [conda env:root] *", - "language": "python", - "name": "conda-root-py" + "name": "python37364bit8d3b438fb5fc4430a93ac2cb74d693a7", + "display_name": "Python 3.7.0 64-bit ('3.7')" }, "language_info": { "codemirror_mode": { @@ -566,7 +390,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.10" + "version": "3.7.0" }, "metadata": { "interpreter": { @@ -576,4 +400,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file