DEVELOPMENT... OpenML
Run
20098

Run 20098

Task 2078 (Supervised Classification) braziltourism Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I10
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.5693
Per class
F measure
0.6601
Per class
Kappa
0.0896
KB relative information score
7.1502
Mean absolute error
0.0978
Mean prior absolute error
0.1103
Number of instances
412
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6531
Per class
Predictive accuracy
0.6675
Prior entropy
1.1781
Recall
0.6675
Per class
Relative absolute error
0.8861
Root mean prior squared error
0.2325
Root mean squared error
0.3054
Root relative squared error
1.3138
SciMark benchmark
935.7048[559.23073532101811014.1867954103211465.02460671471965894.68947221284181745.3925929109241]