DEVELOPMENT... OpenML
Run
163641

Run 163641

Task 3836 (Supervised Classification) wine 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)_I40
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
0.9847
Per class
F measure
0.966
Per class
Kappa
0.9287
KB relative information score
164.0892
Mean absolute error
0.0371
Mean prior absolute error
0.4798
Number of instances
178
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9681
Per class
Predictive accuracy
0.9663
Prior entropy
0.971
Recall
0.9663
Per class
Relative absolute error
0.0773
Root mean prior squared error
0.4897
Root mean squared error
0.1852
Root relative squared error
0.3783
SciMark benchmark
911.3823
UserCPU time millis
60
UserCPU time millis testing
10
UserCPU time millis training
50