DEVELOPMENT... OpenML
Run
120999

Run 120999

Task 3756 (Supervised Classification) visualizing_hamster 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
0.6905
Per class
Build CPU time
1.1698
Build memory
1653533337.863
F measure
0.6719
Per class
Kappa
0.3399
KB relative information score
23.7219
Mean absolute error
0.334
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6735
Per class
Predictive accuracy
0.6712
Prior entropy
0.9937
Recall
0.6712
Per class
Relative absolute error
0.674
Root mean prior squared error
0.4977
Root mean squared error
0.5692
Root relative squared error
1.1436
SciMark benchmark
916.8903