Run
121993

Run 121993

Task 3583 (Supervised Classification) rmftsa_ladata Uploaded 13-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I160
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
0.8961
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
55.6469
Cross-validation details (10-fold Crossvalidation)
Build memory
855392872.0472
Cross-validation details (10-fold Crossvalidation)
F measure
0.8857
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7675
Cross-validation details (10-fold Crossvalidation)
KB relative information score
389.032
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1145
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4921
Cross-validation details (10-fold Crossvalidation)
Number of instances
508
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8857
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8858
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9886
Cross-validation details (10-fold Crossvalidation)
Recall
0.8858
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2326
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.496
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3377
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6807
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.6517