DEVELOPMENT... OpenML
Run
162860

Run 162860

Task 3781 (Supervised Classification) fri_c4_250_50 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)_I20
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
0.8419
Per class
F measure
0.7715
Per class
Kappa
0.5396
KB relative information score
126.9752
Mean absolute error
0.2481
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7717
Per class
Predictive accuracy
0.772
Prior entropy
0.9955
Recall
0.772
Per class
Relative absolute error
0.4994
Root mean prior squared error
0.4984
Root mean squared error
0.4333
Root relative squared error
0.8693
SciMark benchmark
933.8635
UserCPU time millis
90
UserCPU time millis training
90