DEVELOPMENT... OpenML
Run
164175

Run 164175

Task 3640 (Supervised Classification) disclosure_x_bias 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
0.5434
Per class
F measure
0.5408
Per class
Kappa
0.0802
KB relative information score
27.4487
Mean absolute error
0.481
Mean prior absolute error
0.4991
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5409
Per class
Predictive accuracy
0.5408
Prior entropy
0.9987
Recall
0.5408
Per class
Relative absolute error
0.9637
Root mean prior squared error
0.4996
Root mean squared error
0.5402
Root relative squared error
1.0814
SciMark benchmark
943.2817
UserCPU time millis
100
UserCPU time millis testing
10
UserCPU time millis training
90

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