Run
419475

Run 419475

Task 4596 (Supervised Classification) gina_agnostic Uploaded 07-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I40
weka.MultiBoostAB_DecisionStump(3)_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
0.8986
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8122
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6249
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
21329.575
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1939
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
34680
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8156
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8128
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8128
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3879
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3934
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.787
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
941.9549
UserCPU time millis
29840
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
29820
Cross-validation details (10 times 10-fold Crossvalidation)