DEVELOPMENT... OpenML
Run
163707

Run 163707

Task 3893 (Supervised Classification) sylva_prior 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)_I40
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
0.994
Per class
F measure
0.9888
Per class
Kappa
0.9025
KB relative information score
12364.1774
Mean absolute error
0.0121
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9888
Per class
Predictive accuracy
0.989
Prior entropy
0.3338
Recall
0.989
Per class
Relative absolute error
0.1049
Root mean prior squared error
0.2403
Root mean squared error
0.0996
Root relative squared error
0.4144
SciMark benchmark
876.8277
UserCPU time millis
16080
UserCPU time millis testing
30
UserCPU time millis training
16050