DEVELOPMENT... OpenML
Run
119661

Run 119661

Task 2079 (Supervised Classification) eucalyptus 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)_I10
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
0.8662
Per class
Build CPU time
69.6627
Build memory
1627179404.6304
F measure
0.6557
Per class
Kappa
0.56
KB relative information score
445.4638
Mean absolute error
0.1383
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6573
Per class
Predictive accuracy
0.6549
Prior entropy
2.2629
Recall
0.6549
Per class
Relative absolute error
0.4415
Root mean prior squared error
0.3957
Root mean squared error
0.3512
Root relative squared error
0.8875
SciMark benchmark
890.3066