DEVELOPMENT... OpenML
Run
165156

Run 165156

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)_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
0.543
Per class
F measure
0.544
Per class
Kappa
0.0869
KB relative information score
26.7341
Mean absolute error
0.4816
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
0.5443
Per class
Predictive accuracy
0.5438
Prior entropy
0.9987
Recall
0.5438
Per class
Relative absolute error
0.965
Root mean prior squared error
0.4996
Root mean squared error
0.5407
Root relative squared error
1.0824
SciMark benchmark
936.7115
UserCPU time millis
210
UserCPU time millis testing
10
UserCPU time millis training
200