DEVELOPMENT... OpenML
Run
146341

Run 146341

Task 27 (Supervised Classification) colic 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
0.8552
Per class
F measure
0.8301
Per class
Kappa
0.6329
KB relative information score
228.5002
Mean absolute error
0.1722
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.83
Per class
Predictive accuracy
0.8315
Prior entropy
0.9509
Recall
0.8315
Per class
Relative absolute error
0.3694
Root mean prior squared error
0.4827
Root mean squared error
0.3934
Root relative squared error
0.8151
SciMark benchmark
915.2795
UserCPU time millis
360
UserCPU time millis testing
10
UserCPU time millis training
350