DEVELOPMENT... OpenML
Run
162172

Run 162172

Task 3809 (Supervised Classification) visualizing_ethanol 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)_I10
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
0.4558
Per class
F measure
0.4283
Per class
Kappa
-0.1405
KB relative information score
-5.385
Mean absolute error
0.5262
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4287
Per class
Predictive accuracy
0.4318
Prior entropy
0.9996
Recall
0.4318
Per class
Relative absolute error
1.053
Root mean prior squared error
0.4999
Root mean squared error
0.6015
Root relative squared error
1.2034
SciMark benchmark
938.4278