DEVELOPMENT... OpenML
Run
9776

Run 9776

Task 18 (Supervised Classification) mfeat-morphological Uploaded 22-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I40
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.962
Per class
F measure
0.7267
Per class
Kappa
0.6972
KB relative information score
1508.2096
Mean absolute error
0.0649
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7276
Per class
Predictive accuracy
0.7275
Prior entropy
3.3219
Recall
0.7275
Per class
Relative absolute error
0.3607
Root mean prior squared error
0.3
Root mean squared error
0.1881
Root relative squared error
0.6272
SciMark benchmark
947.1704[568.89775376545881015.2555990998168477.85573387886615912.12245438067161761.7204843045454]