Run
22176

Run 22176

Task 21 (Supervised Classification) car Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I80
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.997
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9678
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9298
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1592.5548
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0159
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.9683
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9676
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9676
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0693
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1158
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3423
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.1723[546.09913490143881009.6698621593916470.73295553974066894.99490910464331729.364580914293]