DEVELOPMENT... OpenML
Run
119772

Run 119772

Task 3586 (Supervised Classification) abalone 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
0.8304
Per class
Build CPU time
66.5654
Build memory
1173547020.7249
F measure
0.7551
Per class
Kappa
0.5102
KB relative information score
2136.8678
Mean absolute error
0.2442
Mean prior absolute error
0.5
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7552
Per class
Predictive accuracy
0.7551
Prior entropy
1
Recall
0.7551
Per class
Relative absolute error
0.4884
Root mean prior squared error
0.5
Root mean squared error
0.4676
Root relative squared error
0.9351
SciMark benchmark
920.2874