DEVELOPMENT... OpenML
Run
164065

Run 164065

Task 3532 (Supervised Classification) tr12.wc Uploaded 17-02-2015 by Felicia West
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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)_I80
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
0.679
Per class
F measure
0.321
Per class
Kappa
0.281
KB relative information score
76.0198
Mean absolute error
0.1688
Mean prior absolute error
0.2079
Number of instances
313
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2736
Per class
Predictive accuracy
0.4377
Prior entropy
2.7783
Recall
0.4377
Per class
Relative absolute error
0.8119
Root mean prior squared error
0.3222
Root mean squared error
0.291
Root relative squared error
0.903
SciMark benchmark
936.7115
UserCPU time millis
990
UserCPU time millis training
990