DEVELOPMENT... OpenML
Run
120868

Run 120868

Task 3590 (Supervised Classification) analcatdata_vineyard 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
0.8572
Per class
Build CPU time
7.5528
Build memory
1334611718.547
F measure
0.8484
Per class
Kappa
0.6932
KB relative information score
324.1259
Mean absolute error
0.1509
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
0.8486
Per class
Predictive accuracy
0.8483
Prior entropy
0.9912
Recall
0.8483
Per class
Relative absolute error
0.3056
Root mean prior squared error
0.4969
Root mean squared error
0.3866
Root relative squared error
0.778
SciMark benchmark
945.0554