DEVELOPMENT... OpenML
Run
164146

Run 164146

Task 3612 (Supervised Classification) fri_c1_250_25 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
0.9272
Per class
F measure
0.8441
Per class
Kappa
0.6818
KB relative information score
171.7618
Mean absolute error
0.1526
Mean prior absolute error
0.4897
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
0.8442
Per class
Predictive accuracy
0.844
Prior entropy
0.9852
Recall
0.844
Per class
Relative absolute error
0.3116
Root mean prior squared error
0.4948
Root mean squared error
0.3491
Root relative squared error
0.7055
SciMark benchmark
943.2817
UserCPU time millis
190
UserCPU time millis training
190