DEVELOPMENT... OpenML
Run
113104

Run 113104

Task 264 (Supervised Classification) postoperative-patient-data 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)_I10
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
0.3277
Per class
Build CPU time
0.005
Build memory
123084824
F measure
0.5352
Per class
Kappa
-0.2254
KB relative information score
-3.8141
Mean absolute error
0.2972
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4924
Per class
Predictive accuracy
0.5862
Prior entropy
1.0305
Recall
0.5862
Per class
Relative absolute error
1.0622
Root mean prior squared error
0.3657
Root mean squared error
0.4917
Root relative squared error
1.3444
SciMark benchmark
920.7965