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{"sheet":"Easy Fit_HID2","index":2,"n_rows":13,"n_cols":2,"rows_kept":13,"cut":false,"hidden":true,"merged":[]}
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{"sheet":"Easy Fit","index":3,"n_rows":152,"n_cols":6,"rows_kept":152,"cut":false,"hidden":false,"merged":[[15,1,16,7],[23,1,25,7]]}
[null,"XLSTAT 2020.1.1.12345 - Easy Fit - Start time: 11/02/2020 at 15:19:55 / End time: 11/02/2020 at 15:19:59 / Microsoft Excel 16.012325"]
[null,"Y / Quantitative variable: Workbook = demoEasy.xlsm / Sheet = Data / Range = 'Data'!$A:$A / 1309 rows and 1 column"]
[null,"X / Quantitative variables: Workbook = demoEasy.xlsm / Sheet = Data / Range = 'Data'!$E:$H / 1309 rows and 4 columns"]
[null,"X / Qualitative variables: Workbook = demoEasy.xlsm / Sheet = Data / Range = 'Data'!$B:$D / 1309 rows and 3 columns"]
[]
[]
[]
[]
[null,"Missing data:"]
[]
[null,"Number of removed observations: 266"]
[]
[]
[]
[]
[null,"Data you selected were randomly separated into two samples. 80% of the observations were used to train the model and 20% for validation."]
[]
[]
[]
[null,"You have chosen to use the following methods:"]
[null,"- Logistic regression"]
[null,"- Random forests"]
[]
[null,"You will find below a summary table containing the 'Missclassification rate' statistics, computed on the validation sample, corresponding to these methods. You will then find detailed results for each method."]
[]
[]
[]
[]
[null,"Summary table:"]
[]
[null,null,"Logistic regression","Random forests"]
[null,"Missclassification rate (Validation)",0.20992366412213737,0.22900763358778625]
[null,"The best model, according to the statistic Missclassification rate computed on the validation sample, is colored in green in the table above."]
[]
[]
[null,"You will find at the beginning of the results of each method the following buttons:"]
[]
[]
[null,null,"Click this button to automatically launch the method interface with all available options"]
[]
[null,null,"Click this button to launch the interface to make predictions for a set of new observations."]
[]
[]
[null,null,null,null,null,"Logistic regression"]
[]
[]
[]
[]
[]
[null,"Missclassification rate:"]
[]
[null,"Learning sample",0.21510883482714471]
[null,"Validation sample",0.20992366412213737]
[]
[]
[null,"Confusion matrix (Learning sample):"]
[]
[null,"from \\ to","0","1","Total","% correct"]
[null,0,385,75,460,0.83695652173913049]
[null,1,93,228,321,0.71028037383177567]
[null,"Total",478,303,781,0.78489116517285529]
[]
[]
[null,"Confusion matrix (Validation sample):"]
[]
[null,"from \\ to","0","1","Total","% correct"]
[null,0,132,26,158,0.83544303797468356]
[null,1,29,75,104,0.72115384615384615]
[null,"Total",161,101,262,0.79007633587786263]
[]
[]
[null,"Standardized coefficients chart:"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null," "]
[]
[]
[]
[null,null,null,null,null,"Random forests"]
[]
[]
[]
[]
[]
[null,"Missclassification rate:"]
[]
[null,"OOB sample",0.21638924455825864]
[null,"Validation sample",0.22900763358778625]
[]
[]
[null,"Confusion matrix (OOB sample):"]
[]
[null,"from \\ to","0","1","Total","% correct"]
[null,"0",391,100,491,79.633401221995925]
[null,"1",69,221,290,76.206896551724128]
[null,"Total",460,321,781,78.361075544174128]
[]
[]
[null,"Confusion matrix (Validation sample):"]
[]
[null,"from \\ to","0","1","Total","% correct"]
[null,"0",129,31,160,80.625]
[null,"1",29,73,102,71.568627450980387]
[null,"Total",158,104,262,77.099236641221367]
[]
[]
[null,"Variable importance:"]
[]
[null,"Variables","0","1","Overall"]
[null,"AGE",10.105876165677858,8.638330582332495,13.949600380697929]
[null,"SIBSP",8.3445846366588956,4.2236391311430701,9.4689877156662803]
[null,"PARCH",1.7058654319156505,2.7175730738492194,3.3974162315258449]
[null,"FARE",-0.51962914831543838,19.647479376891638,14.687863478195089]
[null,"PCLASS",5.910959347103236,34.876231320143049,27.467918774318296]
[null,"SEX",36.810000704959229,48.652113112444951,61.795693120574946]
[null,"EMBARKED",6.5052779937435599,0.33756762389942646,6.0332072130881729]
[]
[]
[null,"Importances chart:"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null," "]

{"sheet":"Easy Predict","index":4,"n_rows":17,"n_cols":5,"rows_kept":17,"cut":false,"hidden":false,"merged":[]}
[null,"XLSTAT 2020.1.1.12345 - Easy Predict - Start time: 11/02/2020 at 15:21:37 / End time: 11/02/2020 at 15:21:38 / Microsoft Excel 16.012325"]
[null,"Predictions: X / Quantitative variables: Workbook = demoEasy.xlsm / Sheet = Data / Range = Data!$Q$1:$T$5 / 4 rows and 4 columns"]
[null,"Predictions: X / Qualitative variables: Workbook = demoEasy.xlsm / Sheet = Data / Range = Data!$N$1:$P$5 / 4 rows and 3 columns"]
[null,"Observation labels: Workbook = demoEasy.xlsm / Sheet = Data / Range = Data!$M$1:$M$5 / 4 rows and 1 column"]
[]
[]
[]
[]
[null,"Logistic regression"]
[]
[null,"Predictions for the new observations :"]
[]
[null,"Observations","Pred(SURVIVED)","Pr(0)","Pr(1)"]
[null,"Thalia",1,7.3761682261205164E-2,0.92623831773879484]
[null,"Alexandre",1,0.32696754015084295,0.67303245984915705]
[null,"Damien",0,0.73763441500486593,0.26236558499513407]
[null,"Clemence",1,4.5879005811082285E-2,0.95412099418891771]

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