Run
24802

Run 24802

Task 3 (Supervised Classification) kr-vs-kp Uploaded 18-07-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I160
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.9959
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9959
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9918
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3169.8261
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0041
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
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
0.9959
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9959
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9959
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0082
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0638
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1277
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.3763[559.23069257302551013.9200573100866479.5631016829642908.01528932595751761.152276377127]