DEVELOPMENT... OpenML
Run
164395

Run 164395

Task 3859 (Supervised Classification) prnn_fglass 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
0.79
Per class
F measure
0.7622
Per class
Kappa
0.4744
KB relative information score
97.546
Mean absolute error
0.2452
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
0.7617
Per class
Predictive accuracy
0.7664
Prior entropy
0.9397
Recall
0.7664
Per class
Relative absolute error
0.5348
Root mean prior squared error
0.4786
Root mean squared error
0.4466
Root relative squared error
0.9332
SciMark benchmark
876.8277
UserCPU time millis
50
UserCPU time millis training
50