Run
17609

Run 17609

Task 2079 (Supervised Classification) eucalyptus Uploaded 09-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I160
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.6921
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5156
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3773
Cross-validation details (10-fold Crossvalidation)
KB relative information score
312.1376
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1966
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
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
0.5232
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5109
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5109
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6276
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4407
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1136
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.5416[552.14958929700331013.9200573100866434.0104003466316907.70082742804311754.9271701211055]