DEVELOPMENT... OpenML
Run
162949

Run 162949

Task 3868 (Supervised Classification) glass 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
0.7409
Per class
F measure
0.693
Per class
Kappa
0.3189
KB relative information score
71.3771
Mean absolute error
0.2959
Mean prior absolute error
0.4584
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
0.6913
Per class
Predictive accuracy
0.7009
Prior entropy
0.9397
Recall
0.7009
Per class
Relative absolute error
0.6454
Root mean prior squared error
0.4786
Root mean squared error
0.4913
Root relative squared error
1.0266
SciMark benchmark
938.4285
UserCPU time millis
10
UserCPU time millis training
10