DEVELOPMENT... OpenML
Run
165242

Run 165242

Task 3715 (Supervised Classification) fri_c0_100_50 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
0.6695
Per class
F measure
0.6094
Per class
Kappa
0.2212
KB relative information score
20.7146
Mean absolute error
0.3965
Mean prior absolute error
0.4998
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6119
Per class
Predictive accuracy
0.61
Prior entropy
0.9997
Recall
0.61
Per class
Relative absolute error
0.7932
Root mean prior squared error
0.4999
Root mean squared error
0.6097
Root relative squared error
1.2197
SciMark benchmark
911.3823
UserCPU time millis
480
UserCPU time millis training
480