DEVELOPMENT... OpenML
Run
162229

Run 162229

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)_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
0.7083
Per class
F measure
0.6786
Per class
Kappa
0.2844
KB relative information score
65.8388
Mean absolute error
0.3079
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
0.6786
Per class
Predictive accuracy
0.6916
Prior entropy
0.9397
Recall
0.6916
Per class
Relative absolute error
0.6716
Root mean prior squared error
0.4786
Root mean squared error
0.5074
Root relative squared error
1.0603
SciMark benchmark
938.9865
UserCPU time millis
10
UserCPU time millis training
10

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