DEVELOPMENT... OpenML
Run
164335

Run 164335

Task 3799 (Supervised Classification) fri_c3_500_10 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
0.9342
Per class
F measure
0.8559
Per class
Kappa
0.7093
KB relative information score
343.3179
Mean absolute error
0.1567
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8559
Per class
Predictive accuracy
0.856
Prior entropy
0.9945
Recall
0.856
Per class
Relative absolute error
0.3159
Root mean prior squared error
0.4981
Root mean squared error
0.3413
Root relative squared error
0.6852
SciMark benchmark
938.2848
UserCPU time millis
170
UserCPU time millis training
170