DEVELOPMENT... OpenML
Run
162917

Run 162917

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)_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
0.9839
Per class
F measure
0.9487
Per class
Kappa
0.8923
KB relative information score
158.5989
Mean absolute error
0.0512
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
0.9534
Per class
Predictive accuracy
0.9494
Prior entropy
0.971
Recall
0.9494
Per class
Relative absolute error
0.1068
Root mean prior squared error
0.4897
Root mean squared error
0.2218
Root relative squared error
0.453
SciMark benchmark
934.5243
UserCPU time millis
10
UserCPU time millis training
10