DEVELOPMENT... OpenML
Run
165345

Run 165345

Task 3800 (Supervised Classification) fri_c3_500_50 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.

22 Evaluation measures

Area under ROC curve
0.9247
Per class
F measure
0.8613
Per class
Kappa
0.7172
KB relative information score
350.6106
Mean absolute error
0.1483
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8623
Per class
Predictive accuracy
0.862
Prior entropy
0.9882
Recall
0.862
Per class
Relative absolute error
0.3014
Root mean prior squared error
0.4959
Root mean squared error
0.3412
Root relative squared error
0.6881
SciMark benchmark
940.2922
UserCPU time millis
1620
UserCPU time millis testing
10
UserCPU time millis training
1610