DEVELOPMENT... OpenML
Run
164154

Run 164154

Task 3620 (Supervised Classification) fri_c0_100_5 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
0.931
Per class
F measure
0.8582
Per class
Kappa
0.7145
KB relative information score
68.0075
Mean absolute error
0.1612
Mean prior absolute error
0.4969
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
0.8679
Per class
Predictive accuracy
0.86
Prior entropy
0.9956
Recall
0.86
Per class
Relative absolute error
0.3245
Root mean prior squared error
0.4984
Root mean squared error
0.3782
Root relative squared error
0.7588
SciMark benchmark
943.2817
UserCPU time millis
20
UserCPU time millis training
20