Low accuracy in classification
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I have a well defined data where i have cleaned up my data to final form which has 20 features mapping to a number between 1 to 100. Upto 5 features are enabled(value set to 1) for each row. The data looks something like below Result|f1|f2|...f19|f20 45 |0 | 1|... 1 | 0 92 |0 | 0|... 1 | 1 I'm trying to build machine learning models that can give me good accuracy and preferably models which can handle warm_start since each iteration generates some data that i need to fit into existing build model. below are 2 classifiers that i tried to set some baseline randclf = RandomForestClassifier(n_estimators=50) decclf = DecisionTreeClassifier(criterion = "gini", random_state = 100,max_depth=3, min_samples_leaf=5) However even with 100,000 records i'm getting very po...