Run
1884

Run 1884

Task 86 (Learning Curve) colic Uploaded 23-04-2014 by Jan van Rijn
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Flow

weka.RandomForest(1)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8921 ± 0.0552
Per class
F measure
0.8455 ± 0.0534
Per class
Kappa
0.6652 ± 0.1158
KB relative information score
0.4653 ± 0.0686
Mean absolute error
0.2658 ± 0.028
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8465 ± 0.0505
Per class
Predictive accuracy
0.8476 ± 0.0494
Prior entropy
0.9503 ± 0.0087
Recall
0.8476 ± 0.0494
Per class
Relative absolute error
0.5702 ± 0.0602
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.3459 ± 0.0379
Root relative squared error
0.7166 ± 0.0786
SciMark benchmark
840.2499