DEVELOPMENT... OpenML
Run
162670

Run 162670

Task 3591 (Supervised Classification) bank8FM 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
0.9626
Per class
F measure
0.9048
Per class
Kappa
0.8018
KB relative information score
6109.6737
Mean absolute error
0.1251
Mean prior absolute error
0.4815
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9048
Per class
Predictive accuracy
0.905
Prior entropy
0.9731
Recall
0.905
Per class
Relative absolute error
0.2598
Root mean prior squared error
0.4906
Root mean squared error
0.2835
Root relative squared error
0.5779
SciMark benchmark
922.9039
UserCPU time millis
640
UserCPU time millis testing
10
UserCPU time millis training
630