DEVELOPMENT... OpenML
Run
111320

Run 111320

Task 20 (Supervised Classification) mfeat-pixel 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)_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.

21 Evaluation measures

Area under ROC curve
0.9821
Per class
Build CPU time
11.7971
Build memory
376723676
F measure
0.9546
Per class
Kappa
0.9494
KB relative information score
1905.431
Mean absolute error
0.0092
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9549
Per class
Predictive accuracy
0.9545
Prior entropy
3.3219
Recall
0.9545
Per class
Relative absolute error
0.051
Root mean prior squared error
0.3
Root mean squared error
0.0943
Root relative squared error
0.3143
SciMark benchmark
934.2858