DEVELOPMENT... OpenML
Run
147100

Run 147100

Task 3481 (Supervised Classification) isolet Uploaded 02-02-2015 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)_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.

22 Evaluation measures

Area under ROC curve
0.983
Per class
F measure
0.9519
Per class
Kappa
0.95
KB relative information score
7425.2992
Mean absolute error
0.0037
Mean prior absolute error
0.074
Number of instances
7797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9521
Per class
Predictive accuracy
0.9519
Prior entropy
4.7004
Recall
0.9519
Per class
Relative absolute error
0.0502
Root mean prior squared error
0.1923
Root mean squared error
0.06
Root relative squared error
0.3121
SciMark benchmark
915.2795
UserCPU time millis
2443160
UserCPU time millis testing
2700
UserCPU time millis training
2440460