DEVELOPMENT... OpenML
Run
146635

Run 146635

Task 3719 (Supervised Classification) fishcatch Uploaded 01-02-2015 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)_I80
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
0.991
Per class
F measure
0.9556
Per class
Kappa
0.9074
KB relative information score
142.5872
Mean absolute error
0.0458
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9557
Per class
Predictive accuracy
0.9557
Prior entropy
0.971
Recall
0.9557
Per class
Relative absolute error
0.0954
Root mean prior squared error
0.4896
Root mean squared error
0.1961
Root relative squared error
0.4005
SciMark benchmark
904.3001
UserCPU time millis
10
UserCPU time millis training
10