DEVELOPMENT... OpenML
Run
145814

Run 145814

Task 47 (Supervised Classification) tae Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8007
Per class
F measure
0.6703
Per class
Kappa
0.5028
KB relative information score
76.252
Mean absolute error
0.2478
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.6744
Per class
Predictive accuracy
0.6689
Prior entropy
1.5845
Recall
0.6689
Per class
Relative absolute error
0.5577
Root mean prior squared error
0.4713
Root mean squared error
0.4191
Root relative squared error
0.8891
SciMark benchmark
1112.8112
UserCPU time millis
20
UserCPU time millis training
20

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