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@ -917,48 +917,52 @@
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"title": "Classification 1: Pre-Lecture Quiz",
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"quiz": [
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{
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"questionText": "q1",
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"questionText": "Classification is a form of supervised learning that has a lot in common with",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "Time Series",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "Regression techniques",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "NLP",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "q2",
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"questionText": "What question can classification help answer?",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "Is this email spam or not?",
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"isCorrect": "true"
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},
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{
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"answerText": "b",
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"answerText": "Can pigs fly?",
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"isCorrect": "false"
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},
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{
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"answerText": "What is the meaning of life?",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "q3",
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"questionText": "What is the first step to using Classification techniques?",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "creating classes of a dataset",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "cleaning and balancing your data",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "assigning a data point to a group or outcome",
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"isCorrect": "false"
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}
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]
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@ -970,48 +974,48 @@
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"title": "Classification 1: Post-Lecture Quiz",
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"quiz": [
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{
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"questionText": "q1",
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"questionText": "What is a multiclass question?",
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"answerOptions": [
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{
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"answerText": "a",
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"isCorrect": "false"
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"answerText": "the task of classifying data points into multiple classes",
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"isCorrect": "true"
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},
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{
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"answerText": "b",
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"answerText": "the task of classifying data points into one of several classes",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "the task of cleaning data points in multiple ways",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "q2",
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"questionText": "It's important to clean out recurrent or unhelpful data to help your classifiers solve your problem.",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "true",
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"isCorrect": "true"
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},
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{
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"answerText": "b",
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"answerText": "false",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "q3",
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"questionText": "What's the best reason to balance your data?",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "Imbalanced data looks bad in visualizations",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "Balancing your data yields better results because an ML model won't skew towards one class",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "Balancing your data gives you more data points",
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"isCorrect": "false"
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}
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]
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@ -1023,48 +1027,48 @@
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"title": "Classification 2: Pre-Lecture Quiz",
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"quiz": [
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{
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"questionText": "q1",
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"questionText": "Balanced, clean data yields the best classification results",
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"answerOptions": [
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{
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"answerText": "a",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "true",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "false",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "q2",
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"questionText": "How do you choose the right classifier?",
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"answerOptions": [
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{
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"answerText": "a",
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"isCorrect": "true"
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"answerText": "Understand which classifiers work best for which scenarios",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "Educated guess and check",
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"isCorrect": "false"
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},
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{
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"answerText": "Both of the above",
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"isCorrect": "true"
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}
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]
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},
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{
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"questionText": "q3",
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"questionText": "Classification is a type of",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "NLP",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "Supervised Learning",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "Programming language",
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"isCorrect": "false"
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}
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]
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@ -1076,48 +1080,52 @@
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"title": "Classification 2: Post-Lecture Quiz",
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"quiz": [
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{
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"questionText": "q1",
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"questionText": "What is a 'solver'?",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "the person who double-checks your work",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "the algorithm to use in the optimization problem",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "a machine learning technique",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "q2",
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"questionText": "Which classifier did we use in this lesson?",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "Logistic Regression",
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"isCorrect": "true"
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},
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{
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"answerText": "b",
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"answerText": "Decision Trees",
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"isCorrect": "false"
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},
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{
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"answerText": "One-vs-All Multiclass",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "q3",
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"questionText": "How do you know if the classification algorithm is working as expected?",
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"answerOptions": [
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{
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"answerText": "a",
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"isCorrect": "false"
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"answerText": "By checking the accuracy of its predictions",
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"isCorrect": "true"
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},
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{
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"answerText": "b",
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"isCorrect": "true"
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"answerText": "By checking it against other algorithms",
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"isCorrect": "false"
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},
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{
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"answerText": "c",
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"answerText": "By looking at historical data for how good this algorithm is at solving similar problems",
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"isCorrect": "false"
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}
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]
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