DEVELOPMENT... OpenML
Run
164227

Run 164227

Task 3693 (Supervised Classification) fri_c4_100_100 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)_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
0.8551
Per class
F measure
0.7501
Per class
Kappa
0.5012
KB relative information score
50.0322
Mean absolute error
0.2485
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.754
Per class
Predictive accuracy
0.75
Prior entropy
0.9975
Recall
0.75
Per class
Relative absolute error
0.4987
Root mean prior squared error
0.4991
Root mean squared error
0.4774
Root relative squared error
0.9566
SciMark benchmark
943.2817
UserCPU time millis
280
UserCPU time millis training
280