DEVELOPMENT... OpenML
Run
164345

Run 164345

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 17-02-2015 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)_I80
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
0.5501
Per class
F measure
0.5455
Per class
Kappa
0.0904
KB relative information score
6.7254
Mean absolute error
0.4627
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
0.5455
Per class
Predictive accuracy
0.5455
Prior entropy
0.9996
Recall
0.5455
Per class
Relative absolute error
0.9259
Root mean prior squared error
0.4999
Root mean squared error
0.5985
Root relative squared error
1.1974
SciMark benchmark
938.2848
UserCPU time millis
10
UserCPU time millis training
10