DEVELOPMENT... OpenML
Run
163376

Run 163376

Task 3505 (Supervised Classification) codrna 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)_I40
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
0.9384
Per class
F measure
0.8771
Per class
Kappa
0.7206
KB relative information score
343080.4897
Mean absolute error
0.1282
Mean prior absolute error
0.4444
Number of instances
488565
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8773
Per class
Predictive accuracy
0.8786
Prior entropy
0.9183
Recall
0.8786
Per class
Relative absolute error
0.2884
Root mean prior squared error
0.4714
Root mean squared error
0.3173
Root relative squared error
0.6732
SciMark benchmark
942.1229
UserCPU time millis
156440
UserCPU time millis testing
1740
UserCPU time millis training
154700