DEVELOPMENT... OpenML
Run
162685

Run 162685

Task 3605 (Supervised Classification) sleep 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)_I20
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
0.7409
Per class
F measure
0.7225
Per class
Kappa
0.4435
KB relative information score
27.0972
Mean absolute error
0.282
Mean prior absolute error
0.498
Number of instances
62
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.729
Per class
Predictive accuracy
0.7258
Prior entropy
0.9972
Recall
0.7258
Per class
Relative absolute error
0.5662
Root mean prior squared error
0.499
Root mean squared error
0.5088
Root relative squared error
1.0198
SciMark benchmark
922.9039
UserCPU time millis
10
UserCPU time millis training
10