DEVELOPMENT... OpenML
Run
162891

Run 162891

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)_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
0.5227
Per class
F measure
0.4844
Per class
Kappa
-0.027
KB relative information score
2.0949
Mean absolute error
0.4866
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
0.4864
Per class
Predictive accuracy
0.4886
Prior entropy
0.9996
Recall
0.4886
Per class
Relative absolute error
0.9736
Root mean prior squared error
0.4999
Root mean squared error
0.5858
Root relative squared error
1.1718
SciMark benchmark
936.6206