Run
23979

Run 23979

Task 2072 (Supervised Classification) covertype Uploaded 29-06-2014 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)_I160
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
0.9457
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8702
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8023
Cross-validation details (10-fold Crossvalidation)
KB relative information score
85202.8626
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0397
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1853
Cross-validation details (10-fold Crossvalidation)
Number of instances
110393
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
0.8718
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8746
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.8698
Cross-validation details (10-fold Crossvalidation)
Recall
0.8746
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2144
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3044
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.175
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.575
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.1258[569.26911428393041014.4538648883195483.23216931738307911.48812543402991757.1857345400422]