DEVELOPMENT... OpenML
Run
146327

Run 146327

Task 9 (Supervised Classification) autos 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
0.9271
Per class
F measure
0.8733
Per class
Kappa
0.8345
KB relative information score
170.907
Mean absolute error
0.0362
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8772
Per class
Predictive accuracy
0.8732
Prior entropy
2.3268
Recall
0.8732
Per class
Relative absolute error
0.164
Root mean prior squared error
0.3318
Root mean squared error
0.1903
Root relative squared error
0.5737
SciMark benchmark
915.2795
UserCPU time millis
480
UserCPU time millis testing
20
UserCPU time millis training
460