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pedromlsreis / paranormal_distributions

Group N project for Data Mining course 2019-2020
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Random Forest tuning #6

Open pedromlsreis opened 4 years ago

pedromlsreis commented 4 years ago

The commit 01f15d8ce26ff6d8a472858e32959a71edc222ec adds a Random Forest classifier to predict the missing values (NaNs) in the categorical columns.

We should look into the classifier hyperparameters and dig a bit more into this. We can try splitting the dataframe in train/valid and CrossValidation to tune our RF classifier hyperparameters.

kalrashid15 commented 4 years ago

Getting an ValueError: Input contains NaN, infinity or a value too large for dtype('float32'). error

pedromlsreis commented 4 years ago

Getting an ValueError: Input contains NaN, infinity or a value too large for dtype('float32'). error

Fixed in a120ae892360aed31cf0e15714fcad6be35095d9.