DEVELOPMENT... OpenML
Run
146131

Run 146131

Task 3756 (Supervised Classification) visualizing_hamster 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
0.5746
Per class
F measure
0.5513
Per class
Kappa
0.096
KB relative information score
5.8883
Mean absolute error
0.4554
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5547
Per class
Predictive accuracy
0.5616
Prior entropy
0.9937
Recall
0.5616
Per class
Relative absolute error
0.9191
Root mean prior squared error
0.4977
Root mean squared error
0.5459
Root relative squared error
1.0968
SciMark benchmark
915.2795
UserCPU time millis
10
UserCPU time millis training
10