Having issues fitting random forest classifier

Question

I'm using IPython's UI with appropriate libraries (Anaconda, pandas, numpy)

I've declared a pandas object df, I've changed it so that the first column is the desired value I wish to predict but my code still continues to stop at line 10. Line 11 does not run. Instead, the Terminal IPython window quits and displays this error:

~/anaconda/bin/python.app: line 3: 45581 Killed: 9               ~/anaconda/python.app/Contents/MacOS/python "$@"

Start of code

In [1]: import pandas as pd

In [2]: import numpy as np

In [3]: df = pd.read_csv('train.csv', header=0)

In [4]: cols = list(df)

In [5]: cols.insert(0, cols.pop(cols.index('Cover_Type'))) %Cover type is column I wanted to bring to column position 1 or value I'm predicting

In [6]: cols

In [7]: df = df.ix[:, cols]

In [8]: df

In [9]: forest = RandomForestClassifier(n_estimators = 100)

In [10]: forest = forest.fit(train_data[0::,1::],train_data[0::,0])

In [11]: output = forest.predict(test_data)

In [12]: train_data = df.values

In [13]: train_data

Where train_data comes from? What is dimensions of train_data? Maybe this error caused by sort of memory limitations? — Ibraim Ganiev
– Ibraim Ganiev, Commented Nov 11, 2015 at 11:33

R4PH43L · Accepted Answer · 2015-11-11 12:58:39Z

1

You are using train Data in line 10 which is not available. You assign it later on.

First assign train data , then use it in forest.fit

answered Nov 11, 2015 at 12:58

R4PH43L

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