DEVELOPMENT... OpenML
Run
164316

Run 164316

Task 3781 (Supervised Classification) fri_c4_250_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)_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
0.889
Per class
F measure
0.8237
Per class
Kappa
0.6448
KB relative information score
152.8325
Mean absolute error
0.1955
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
0.8239
Per class
Predictive accuracy
0.824
Prior entropy
0.9955
Recall
0.824
Per class
Relative absolute error
0.3935
Root mean prior squared error
0.4984
Root mean squared error
0.4028
Root relative squared error
0.8082
SciMark benchmark
938.2848
UserCPU time millis
370
UserCPU time millis training
370