DEVELOPMENT... OpenML
Run
163835

Run 163835

Task 15 (Supervised Classification) breast-w 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)_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
0.987
Per class
F measure
0.9586
Per class
Kappa
0.9084
KB relative information score
630.7425
Mean absolute error
0.0423
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9587
Per class
Predictive accuracy
0.9585
Prior entropy
0.9297
Recall
0.9585
Per class
Relative absolute error
0.0935
Root mean prior squared error
0.4753
Root mean squared error
0.1978
Root relative squared error
0.4162
SciMark benchmark
926.6717
UserCPU time millis
110
UserCPU time millis training
110