DEVELOPMENT... OpenML
Run
165452

Run 165452

Task 3907 (Supervised Classification) mc1 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
0.7473
Per class
F measure
0.9892
Per class
KB relative information score
1697.551
Mean absolute error
0.0072
Mean prior absolute error
0.0144
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9857
Per class
Predictive accuracy
0.9928
Prior entropy
0.0622
Recall
0.9928
Per class
Relative absolute error
0.4992
Root mean prior squared error
0.0845
Root mean squared error
0.0845
Root relative squared error
1.0008
SciMark benchmark
936.7115
UserCPU time millis
12930
UserCPU time millis testing
60
UserCPU time millis training
12870