DEVELOPMENT... OpenML
Run
112358

Run 112358

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 09-12-2014 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)_I40
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.

21 Evaluation measures

Area under ROC curve
0.4103
Per class
Build CPU time
0.0013
Build memory
990513122.7273
F measure
0.4148
Per class
Kappa
-0.1452
KB relative information score
-4.6162
Mean absolute error
0.5211
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4194
Per class
Predictive accuracy
0.4318
Prior entropy
0.9996
Recall
0.4318
Per class
Relative absolute error
1.0427
Root mean prior squared error
0.4999
Root mean squared error
0.5358
Root relative squared error
1.0718
SciMark benchmark
936.1433