DEVELOPMENT... OpenML
Run
165216

Run 165216

Task 3693 (Supervised Classification) fri_c4_100_100 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
0.8326
Per class
F measure
0.7098
Per class
Kappa
0.4228
KB relative information score
43.1236
Mean absolute error
0.2814
Mean prior absolute error
0.4982
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
0.7166
Per class
Predictive accuracy
0.71
Prior entropy
0.9975
Recall
0.71
Per class
Relative absolute error
0.5647
Root mean prior squared error
0.4991
Root mean squared error
0.5142
Root relative squared error
1.0303
SciMark benchmark
911.3823
UserCPU time millis
640
UserCPU time millis training
640