DEVELOPMENT... OpenML
Run
121052

Run 121052

Task 3831 (Supervised Classification) analcatdata_birthday Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.7596
Per class
Build CPU time
12.7021
Build memory
409404561.6
F measure
0.863
Per class
Kappa
0.4372
KB relative information score
119.2303
Mean absolute error
0.1336
Mean prior absolute error
0.2496
Number of instances
365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8606
Per class
Predictive accuracy
0.8658
Prior entropy
0.6026
Recall
0.8658
Per class
Relative absolute error
0.5352
Root mean prior squared error
0.3523
Root mean squared error
0.362
Root relative squared error
1.0274
SciMark benchmark
923.3659