DEVELOPMENT... OpenML
Run
162001

Run 162001

Task 3640 (Supervised Classification) disclosure_x_bias 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)_I10
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
0.5416
Per class
F measure
0.5327
Per class
Kappa
0.0697
KB relative information score
16.6831
Mean absolute error
0.4884
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
0.5362
Per class
Predictive accuracy
0.5332
Prior entropy
0.9987
Recall
0.5332
Per class
Relative absolute error
0.9785
Root mean prior squared error
0.4996
Root mean squared error
0.5234
Root relative squared error
1.0477
SciMark benchmark
938.4278
UserCPU time millis
10
UserCPU time millis training
10