DEVELOPMENT... OpenML
Run
162924

Run 162924

Task 3534 (Supervised Classification) ohscal.wc Uploaded 16-02-2015 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)_I20
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
0.5846
Per class
F measure
0.1323
Per class
Kappa
0.1095
KB relative information score
1261.2675
Mean absolute error
0.1651
Mean prior absolute error
0.1787
Number of instances
11162
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1146
Per class
Predictive accuracy
0.2358
Prior entropy
3.2759
Recall
0.2358
Per class
Relative absolute error
0.9238
Root mean prior squared error
0.2989
Root mean squared error
0.2873
Root relative squared error
0.9612
SciMark benchmark
938.4285
UserCPU time millis
76140
UserCPU time millis testing
20
UserCPU time millis training
76120