DEVELOPMENT... OpenML
Run
165285

Run 165285

Task 3754 (Supervised Classification) sleuth_case1202 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
0.8631
Per class
F measure
0.8298
Per class
Kappa
0.6482
KB relative information score
57.24
Mean absolute error
0.1802
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8385
Per class
Predictive accuracy
0.828
Prior entropy
0.9645
Recall
0.828
Per class
Relative absolute error
0.3792
Root mean prior squared error
0.4871
Root mean squared error
0.4042
Root relative squared error
0.8298
SciMark benchmark
940.2922
UserCPU time millis
40
UserCPU time millis training
40