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MachineLearning.mm
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<pre>import python;
print("test")</pre>
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Grouping dataset into logiical groups of related items
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<node TEXT="K-Nearrest Neighbours" ID="ID_1032555747" CREATED="1525342877687" MODIFIED="1525342888725">
<node TEXT="Calculated the distance of un known point from known points" ID="ID_183579657" CREATED="1525348836120" MODIFIED="1525349839808">
<node TEXT="Select the best. What is use of the k then?" ID="ID_1716854196" CREATED="1525349844143" MODIFIED="1525349897956"/>
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<node TEXT="Naive Bayes" ID="ID_1536221972" CREATED="1525342889071" MODIFIED="1525342894668">
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If p1(x, y) > p2(x, y), then the class is 1.
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If p2(x, y) > p1(x, y), then the class is 2
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<p>
Pros: computationally Cheap, easy to understand, can deal with missing and irrelevent features. Cons: Over Fitting. Type of Features: Numerical and Nominal
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<node TEXT="Work for Nominal. Continuous values will be quantized" ID="ID_1432546342" CREATED="1525350252544" MODIFIED="1525350281622"/>
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<node TEXT="ID3 (Iterative Dichotomiser 3)" ID="ID_1604620669" CREATED="1525436995606" MODIFIED="1525437052117">
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<node TEXT="Can overfit to training data" ID="ID_567982899" CREATED="1525437270980" MODIFIED="1525437285010">
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<node TEXT="Difficult to use for continuous data" ID="ID_1836059844" CREATED="1525437372790" MODIFIED="1525437383028">
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<node TEXT="Information Gain" ID="ID_1310827035" CREATED="1525350311273" MODIFIED="1525350316974">
<node TEXT="Used to split our dataset" ID="ID_1832830041" CREATED="1525350324201" MODIFIED="1525350338054"/>
<node TEXT="Measure information before and after each split" ID="ID_491184474" CREATED="1525350371433" MODIFIED="1525350392686">
<node TEXT="Before - after=Information gain" ID="ID_1211920808" CREATED="1525350422809" MODIFIED="1525438274400"/>
<node TEXT="Based on Shannon Entropy" ID="ID_149802545" CREATED="1525350469233" MODIFIED="1525350593946">
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<node TEXT="depends on the variable chosen" ID="ID_279718819" CREATED="1525350831594" MODIFIED="1525437554716"/>
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<node TEXT="Local weighted Linear Regression" ID="ID_1933018938" CREATED="1525342907392" MODIFIED="1525342931582"/>
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Based on exisiting data
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Evaluation based on existing data
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Based on the data which are not part of either Training or Testing
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Punishment (for mistake) and Reward (for correctness). Maximising the rewards.
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<node TEXT="Temporal Difference methods" ID="ID_685727136" CREATED="1528548698178" MODIFIED="1528548721529"/>
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<p>
Confusion Matrix
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error rate = (FN+FP)/N
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1-specificity = FP/(FP+TN)
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Predicted Class
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Predicted Class
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Sensitivity=TN/(TN/FN)
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</p>
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Positive
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Negtive
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True Class
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Positive
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TP
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FN
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Truee Class
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Negative
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FP
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TN
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