DEVELOPMENT... OpenML
Run
10107

Run 10107

Task 50 (Supervised Classification) heart-h Uploaded 22-05-2014 by Felicia West
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Flow

weka.RandomForest(1)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(1)_I3
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
0.8244
Per class
F measure
0.7553
Per class
Kappa
0.4641
KB relative information score
121.1011
Mean absolute error
0.1017
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7544
Per class
Predictive accuracy
0.7585
Prior entropy
1.0314
Recall
0.7585
Per class
Relative absolute error
0.5447
Root mean prior squared error
0.3037
Root mean squared error
0.2586
Root relative squared error
0.8514
SciMark benchmark
923.1315[567.78666173126961014.7209476623404483.6674820550281900.52909745087851648.9532830845067]