DEVELOPMENT... OpenML
Run
18488

Run 18488

Task 29 (Supervised Classification) credit-approval Uploaded 10-06-2014 by Felicia West
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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
F measure
0.8549
Per class
Kappa
0.7058
KB relative information score
486.3126
Mean absolute error
0.1451
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8549
Per class
Predictive accuracy
0.8551
Prior entropy
0.9913
Recall
0.8551
Per class
Relative absolute error
0.2937
Root mean prior squared error
0.497
Root mean squared error
0.3793
Root relative squared error
0.7633
SciMark benchmark
922.5959[549.7133900178856987.4225304983287470.73290633698946892.5570199707421712.553499910833]