DEVELOPMENT... OpenML
Run
162220

Run 162220

Task 3859 (Supervised Classification) prnn_fglass 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
0.7228
Per class
F measure
0.7149
Per class
Kappa
0.3662
KB relative information score
72.3225
Mean absolute error
0.2979
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
0.7155
Per class
Predictive accuracy
0.7243
Prior entropy
0.9397
Recall
0.7243
Per class
Relative absolute error
0.6498
Root mean prior squared error
0.4786
Root mean squared error
0.4899
Root relative squared error
1.0237
SciMark benchmark
938.9865
UserCPU time millis
10
UserCPU time millis training
10