Run
1016

Run 1016

Task 96 (Learning Curve) diabetes Uploaded 09-04-2014 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
0.7967 ± 0.0543
Per class
F measure
0.7425 ± 0.0509
Per class
Kappa
0.4234 ± 0.1154
KB relative information score
0.3179 ± 0.077
Mean absolute error
0.3091 ± 0.0309
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7425 ± 0.0518
Per class
Predictive accuracy
0.7495 ± 0.0477
Prior entropy
0.9331 ± 0.0044
Recall
0.7495 ± 0.0477
Per class
Relative absolute error
0.6801 ± 0.0684
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4181 ± 0.0324
Root relative squared error
0.8772 ± 0.0684
SciMark benchmark
889.9026