DEVELOPMENT... OpenML
Run
163539

Run 163539

Task 3734 (Supervised Classification) fri_c1_500_5 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)_I40
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
0.8958
Per class
F measure
0.8196
Per class
Kappa
0.6371
KB relative information score
312.9106
Mean absolute error
0.1873
Mean prior absolute error
0.4977
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
0.8202
Per class
Predictive accuracy
0.82
Prior entropy
0.9967
Recall
0.82
Per class
Relative absolute error
0.3764
Root mean prior squared error
0.4988
Root mean squared error
0.3946
Root relative squared error
0.791
SciMark benchmark
942.1229
UserCPU time millis
50
UserCPU time millis training
50