Run
24892

Run 24892

Task 31 (Supervised Classification) credit-g Uploaded 19-07-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I80
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
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
0.6848
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7475
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3808
Cross-validation details (10-fold Crossvalidation)
KB relative information score
381.5753
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2424
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7464
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.759
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.759
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5769
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4908
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.071
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
928.1296[549.5402099476553991.7421763609668474.05817848535898.6767056192651726.6307773978087]