DEVELOPMENT... OpenML
Run
165449

Run 165449

Task 3905 (Supervised Classification) mc2 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
0.673
Per class
F measure
0.667
Per class
Kappa
0.2131
KB relative information score
37.958
Mean absolute error
0.3184
Mean prior absolute error
0.4381
Number of instances
161
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6706
Per class
Predictive accuracy
0.6957
Prior entropy
0.9099
Recall
0.6957
Per class
Relative absolute error
0.7267
Root mean prior squared error
0.4676
Root mean squared error
0.5323
Root relative squared error
1.1383
SciMark benchmark
936.7115
UserCPU time millis
240
UserCPU time millis training
240