Program_img2Logistic_weka_nominal
This programs is part of the WEKA classifier library. The code used to generate this program is from the java class 'weka/classifiers/functions/Logistic.java' from WEKA's libraries. The following description was taken from this classes JavaDoc information:

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Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, however, compared to the paper of leCessie and van Houwelingen(1992): If there are k classes for n instances with m attributes, the parameter matrix B to be calculated will be an m*(k-1) matrix. The probability for class j with the exception of the last class is Pj(Xi) = exp(XiBj)/((sum[j=1..(k-1)]exp(Xi*Bj))+1) The last class has probability 1-(sum[j=1..(k-1)]Pj(Xi)) = 1/((sum[j=1..(k-1)]exp(Xi*Bj))+1) The (negative) multinomial log-likelihood is thus: L = -sum[i=1..n]{ sum[j=1..(k-1)](Yij * ln(Pj(Xi))) +(1 - (sum[j=1..(k-1)]Yij)) * ln(1 - sum[j=1..(k-1)]Pj(Xi)) } + ridge * (B^2) In order to find the matrix B for which L is minimised, a Quasi-Newton Method is used to search for the optimized values of the m*(k-1) variables. Note that before we use the optimization procedure, we 'squeeze' the matrix B into a m*(k-1) vector. For details of the optimization procedure, please check weka.core.Optimization class. Although original Logistic Regression does not deal with instance weights, we modify the algorithm a little bit to handle the instance weights. For more information see: le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201. Note: Missing values are replaced using a ReplaceMissingValuesFilter, and nominal attributes are transformed into numeric attributes using a NominalToBinaryFilter.
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NOTE: This algorithm has no parameter tuning, it is using the default WEKA parameters

NOTE: WEKA's Classifiers read a data in the .arff format. For Multiclass datasets, the SVMlight format converted to .arff multiclass format so they can be read by WEKA programs
MulticlassClassification
internal
18M
checked
open
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Existing runs on Logistic_weka_nominal 1-25 of 77 < > Action_refresh_blue
ID Program Dataset User Updated << Status Total time Memory Error
Run #7710 Logistic_weka_nominal uci-congressional-voting-records ivank 124d7h ago failed 1s 234M
Run #7709 Logistic_weka_nominal uci-congressional-voting-records ivank 124d7h ago failed 5s 39M
Run #3028 Logistic_weka_nominal thyroid-0387 internal 253d20h ago failed 5h0m 234M
Run #3055 Logistic_weka_nominal chess-krk internal 254d0h ago done 1h7m 234M 0.675
Run #3031 Logistic_weka_nominal statlog-shuttle internal 254d1h ago done 16m26s 234M 0.031
Run #3064 Logistic_weka_nominal Dexter_train internal 254d1h ago failed 24s 38M
Run #3063 Logistic_weka_nominal jakefootball internal 254d1h ago done 11s 230M 0.418
Run #3061 Logistic_weka_nominal sample-dataset internal 254d1h ago done 22s 22M 0.500
Run #3059 Logistic_weka_nominal svmlight-example1 internal 254d1h ago failed 30s 13M
Run #3060 Logistic_weka_nominal jake-lungcancer-copy internal 254d1h ago done 29s 228M 0.500
Run #3062 Logistic_weka_nominal sample-dataset2 internal 254d1h ago done 1s 21M 0.500
Run #3058 Logistic_weka_nominal lung-cancer internal 254d1h ago done 29s 233M 0.500
Run #3057 Logistic_weka_nominal flags internal 254d1h ago done 41s 231M 0.448
Run #3056 Logistic_weka_nominal breast-cancer-wisconsin internal 254d1h ago done 30s 231M 0.038
Run #3054 Logistic_weka_nominal heart-disease-cleveland internal 254d1h ago done 23s 230M 0.396
Run #3053 Logistic_weka_nominal horse-colic internal 254d1h ago done 14s 231M 0.403
Run #3050 Logistic_weka_nominal thyroid-allrep internal 254d1h ago done 22s 234M 0.033
Run #3051 Logistic_weka_nominal chess-krkp internal 254d1h ago done 17s 35M 0.028
Run #3048 Logistic_weka_nominal postoperative-patient-data internal 254d1h ago done 34s 231M 0.370
Run #3049 Logistic_weka_nominal hayes-roth internal 254d1h ago done 27s 231M 0.375
Run #3052 Logistic_weka_nominal sonar internal 254d1h ago done 1s 31M 0.258
Run #3044 Logistic_weka_nominal connect-4 internal 254d1h ago done 57s 234M 0.249
Run #3047 Logistic_weka_nominal glass internal 254d1h ago done 9s 231M 0.359
Run #3045 Logistic_weka_nominal breast-cancer-wpbc internal 254d1h ago done 1s 231M 0.810
Run #3046 Logistic_weka_nominal statlog-german internal 254d1h ago done 1s 31M 0.253




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