DEVELOPMENT... OpenML
Run
165103

Run 165103

Task 3594 (Supervised Classification) analcatdata_supreme 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
0.9929
Per class
F measure
0.9928
Per class
Kappa
0.9802
KB relative information score
3960.3304
Mean absolute error
0.0072
Mean prior absolute error
0.3645
Number of instances
4052
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9929
Per class
Predictive accuracy
0.9928
Prior entropy
0.7946
Recall
0.9928
Per class
Relative absolute error
0.0197
Root mean prior squared error
0.4269
Root mean squared error
0.0841
Root relative squared error
0.1969
SciMark benchmark
936.7115
UserCPU time millis
1120
UserCPU time millis testing
30
UserCPU time millis training
1090

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