DEVELOPMENT... OpenML
Run
165456

Run 165456

Task 3911 (Supervised Classification) ar4 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
0.779
Per class
F measure
0.8398
Per class
Kappa
0.4438
KB relative information score
41.5887
Mean absolute error
0.1564
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8371
Per class
Predictive accuracy
0.8505
Prior entropy
0.707
Recall
0.8505
Per class
Relative absolute error
0.5087
Root mean prior squared error
0.3899
Root mean squared error
0.3896
Root relative squared error
0.9993
SciMark benchmark
936.7115
UserCPU time millis
140
UserCPU time millis training
140