DEVELOPMENT... OpenML
Run
121525

Run 121525

Task 3707 (Supervised Classification) analcatdata_runshoes 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)_I80
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
0.7662
Per class
Build CPU time
2.0534
Build memory
961804321.6
F measure
0.7156
Per class
Kappa
0.4056
KB relative information score
22.976
Mean absolute error
0.2924
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7149
Per class
Predictive accuracy
0.7167
Prior entropy
0.9728
Recall
0.7167
Per class
Relative absolute error
0.6083
Root mean prior squared error
0.4899
Root mean squared error
0.5325
Root relative squared error
1.087
SciMark benchmark
874.7324