DEVELOPMENT... OpenML
Run
120423

Run 120423

Task 3707 (Supervised Classification) analcatdata_runshoes 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
0.706
Per class
Build CPU time
0.5789
Build memory
793342968
F measure
0.6843
Per class
Kappa
0.3448
KB relative information score
19.9487
Mean absolute error
0.3148
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
0.6857
Per class
Predictive accuracy
0.6833
Prior entropy
0.9728
Recall
0.6833
Per class
Relative absolute error
0.655
Root mean prior squared error
0.4899
Root mean squared error
0.546
Root relative squared error
1.1145
SciMark benchmark
942.3919