Run
161508

Run 161508

Task 202 (Supervised Classification) BNG(glass,nominal,137781) Uploaded 16-02-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6666
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2635
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2091
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30042.1463
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1924
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2115
Cross-validation details (10-fold Crossvalidation)
Number of instances
137781
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
0.1938
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4146
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2061
Cross-validation details (10-fold Crossvalidation)
Recall
0.4146
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9093
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3252
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3101
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9536
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.4285
UserCPU time millis
290
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
190
Cross-validation details (10-fold Crossvalidation)