DEVELOPMENT... OpenML
Run
164589

Run 164589

Task 40 (Supervised Classification) glass 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)_I160
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
0.653
Per class
F measure
0.2836
Per class
Kappa
0.2411
KB relative information score
59.2653
Mean absolute error
0.1826
Mean prior absolute error
0.2116
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2074
Per class
Predictive accuracy
0.4486
Prior entropy
2.2315
Recall
0.4486
Per class
Relative absolute error
0.8629
Root mean prior squared error
0.3244
Root mean squared error
0.3031
Root relative squared error
0.9341
SciMark benchmark
922.9039