DEVELOPMENT... OpenML
Run
120320

Run 120320

Task 3590 (Supervised Classification) analcatdata_vineyard 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
0.8773
Per class
Build CPU time
3.5391
Build memory
829528617.1795
F measure
0.8462
Per class
Kappa
0.6888
KB relative information score
320.3538
Mean absolute error
0.1548
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8463
Per class
Predictive accuracy
0.8462
Prior entropy
0.9912
Recall
0.8462
Per class
Relative absolute error
0.3135
Root mean prior squared error
0.4969
Root mean squared error
0.3905
Root relative squared error
0.7858
SciMark benchmark
942.3919