Run
19378

Run 19378

Task 29 (Supervised Classification) credit-approval Uploaded 13-06-2014 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)_I40
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
0.8669
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8549
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7058
Cross-validation details (10-fold Crossvalidation)
KB relative information score
486.3126
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1451
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
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
0.8549
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2937
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3793
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7633
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.0043[563.93163340417231013.6533323510344481.49857166643204907.70082742804311753.2370197795062]