DEVELOPMENT... OpenML
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Run 164794

Task 225 (Supervised Classification) RandomRBF_10_1E-3 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)_I160
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.

20 Evaluation measures

Area under ROC curve
0.5873 ± 0.0004
Per class
Kappa
0.1142 ± 0.0011
KB relative information score
0.0866 ± 0.0002
Mean absolute error
0.299 ± 0.0001
Mean prior absolute error
0.3093 ± 0
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.3722 ± 0.0008
Prior entropy
2.2205 ± 0
Recall
0.3722 ± 0.0008
Per class
Relative absolute error
0.9666 ± 0.0002
Root mean prior squared error
0.3932 ± 0
Root mean squared error
0.3866 ± 0.0001
Root relative squared error
0.9832 ± 0.0002
SciMark benchmark
934.5243
UserCPU time millis
13380
UserCPU time millis testing
980
UserCPU time millis training
12400