DEVELOPMENT... OpenML
Run
120528

Run 120528

Task 3831 (Supervised Classification) analcatdata_birthday Uploaded 10-12-2014 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)_I20
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
0.7879
Per class
Build CPU time
6.5293
Build memory
77263635.9233
F measure
0.863
Per class
Kappa
0.4372
KB relative information score
118.6615
Mean absolute error
0.1342
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
0.5374
Root mean prior squared error
0.3523
Root mean squared error
0.3645
Root relative squared error
1.0347
SciMark benchmark
939.521