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[1,3,"female","S",4,1,1,16.7]
[1,3,"male","S",25,0,0,9.5]
[0,3,"male","S",20,0,0,8.0500000000000007]
[0,3,"male","S",24.5,0,0,8.0500000000000007]
[0,3,"male","Q",null,0,0,7.7249999999999996]
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[1,3,"male","S",29,0,0,9.5]
[0,3,"male","S",null,0,0,15.1]
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[0,3,"male","S",null,0,0,8.0500000000000007]
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[0,3,"male","S",40,0,0,7.8958000000000004]
[0,3,"male","S",21,0,0,7.9249999999999998]
[1,3,"female","S",18,0,0,7.4958]
[0,3,"male","S",4,3,2,27.9]
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[0,3,"male","S",32,0,0,8.0500000000000007]
[0,3,"male","S",null,0,0,7.8958000000000004]
[0,3,"male","C",33,0,0,8.6624999999999996]
[1,3,"female","S",23,0,0,7.55]
[0,3,"male","S",21,0,0,8.0500000000000007]
[0,3,"male","S",60.5,0,0]
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[0,3,"female","S",22,0,0,9.8375000000000004]
[1,3,"male","S",31,0,0,7.9249999999999998]
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[1,3,"male","S",16,0,0,8.0500000000000007]
[1,3,"male","S",44,0,0,7.9249999999999998]
[0,3,"male","S",25,0,0,7.05]
[0,3,"male","S",74,0,0,7.7750000000000004]
[1,3,"male","S",14,0,0,9.2249999999999996]
[0,3,"male","S",24,0,0,7.7957999999999998]
[1,3,"male","S",25,0,0,7.7957999999999998]
[0,3,"male","S",34,0,0,8.0500000000000007]
[1,3,"male","C",0.41670000000000001,0,1,8.5167000000000002]
[0,3,"male","C",null,1,0,6.4375]
[0,3,"male","C",null,0,0,6.4375]
[0,3,"male","C",null,0,0,7.2249999999999996]
[1,3,"female","C",16,1,1,8.5167000000000002]
[0,3,"male","S",null,0,0,8.0500000000000007]
[0,3,"male","S",null,1,0,16.100000000000001]
[1,3,"female","S",null,1,0,16.100000000000001]
[0,3,"male","S",32,0,0,7.9249999999999998]
[0,3,"male","Q",null,0,0,7.75]
[0,3,"male","S",null,0,0,7.8958000000000004]
[0,3,"male","S",30.5,0,0,8.0500000000000007]
[0,3,"male","S",44,0,0,8.0500000000000007]
[0,3,"male","C",null,0,0,7.2291999999999996]
[1,3,"male","S",25,0,0,0]
[0,3,"male","C",null,0,0,7.2291999999999996]
[1,3,"male","C",7,1,1,15.245799999999999]
[1,3,"female","C",9,1,1,15.245799999999999]
[1,3,"female","C",29,0,2,15.245799999999999]
[0,3,"male","S",36,0,0,7.8958000000000004]
[1,3,"female","S",18,0,0,9.8416999999999994]
[1,3,"female","S",63,0,0,9.5875000000000004]
[0,3,"male","S",null,1,1,14.5]
[0,3,"male","S",11.5,1,1,14.5]
[0,3,"male","S",40.5,0,2,14.5]
[0,3,"female","S",10,0,2,24.15]
[0,3,"male","S",36,1,1,24.15]
[0,3,"female","S",30,1,1,24.15]
[0,3,"male","S",null,0,0,9.5]
[0,3,"male","S",33,0,0,9.5]
[0,3,"male","S",28,0,0,9.5]
[0,3,"male","S",28,0,0,9.5]
[0,3,"male","S",47,0,0,9]
[0,3,"female","S",18,2,0,18]
[0,3,"male","S",31,3,0,18]
[0,3,"male","S",16,2,0,18]
[0,3,"female","S",31,1,0,18]
[1,3,"male","C",22,0,0,7.2249999999999996]
[0,3,"male","S",20,0,0,7.8541999999999996]
[0,3,"female","S",14,0,0,7.8541999999999996]
[0,3,"male","S",22,0,0,7.8958000000000004]
[0,3,"male","S",22,0,0,9]
[0,3,"male","S",null,0,0,8.0500000000000007]
[0,3,"male","S",null,0,0,7.55]
[0,3,"male","S",null,0,0,8.0500000000000007]
[0,3,"male","S",32.5,0,0,9.5]
[1,3,"female","C",38,0,0,7.2291999999999996]
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[0,3,"male","S",18,1,0,6.4958]
[0,3,"male","S",21,1,0,6.4958]
[1,3,"female","S",47,1,0,7]
[0,3,"male","S",null,0,0,8.7125000000000004]
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[0,3,"male","S",null,0,0,8.0500000000000007]
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[1,3,"female","C",15,1,0,14.4542]
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{"sheet":"Easy Fit","index":1,"n_rows":817,"n_cols":11,"rows_kept":817,"cut":false,"hidden":false,"merged":[[17,1,18,8],[28,1,30,8]]}
[null,"XLSTAT 2022.1.2.12345 - Easy Fit - Start time: 30/03/2022 at 16:35:07 / End time: 30/03/2022 at 16:35:16 / Microsoft Excel 16.014931"]
[null,"Y / Qualitative variable: Workbook = demoEasyFitAndPred.xlsm / Sheet = Data / Range = 'Data'!$A:$A / 1309 rows and 1 column"]
[null,"X / Quantitative variables: Workbook = demoEasyFitAndPred.xlsm / Sheet = Data / Range = 'Data'!$E:$H / 1309 rows and 4 columns"]
[null,"X / Qualitative variables: Workbook = demoEasyFitAndPred.xlsm / Sheet = Data / Range = 'Data'!$B:$D / 1309 rows and 3 columns"]
[null,"Seed (random numbers): 123456789"]
[]
[]
[]
[]
[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,"- K Nearest Neighbors"]
[null,"- SVM"]
[null,"- Discriminant Analysis"]
[]
[null,"You will find below a summary table containing several indices, computed on the validation sample, corresponding to these methods. You will then find detailed results for each method."]
[]
[]
[]
[]
[null,"Summary table:"]
[]
[null,"Performance metrics","Logistic regression","Random forests","K Nearest Neighbors","SVM","Discriminant Analysis"]
[null,"Accuracy",0.79007633587786263,0.77099236641221369,0.60687022900763354,0.77862595419847325,0.5]
[null,"Precision",0.81987577639751552,0.80625000000000002,0.67080745341614911,0.80864197530864201,0.63636363636363635]
[null,"Recall",0.83544303797468356,0.81645569620253167,0.68354430379746833,0.82911392405063289,0.39873417721518989]
[null,"Correct classification",207,202,159,204,131]
[null,"Misclassification",55,60,103,58,131]
[null,"F-score",0.82758620689655171,0.81132075471698117,0.67711598746081503,0.81874999999999998,0.49027237354085601]
[null,"The best model, according to the statistic Misclassification 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,"Regression of variable SURVIVED (Control category = 0):"]
[]
[null,"Model parameters (Variable SURVIVED):"]
[]
[null,"Source","Value","Standard error","Wald Chi-Square","Pr > Chi²","Wald Lower bound (95%)","Wald Upper bound (95%)","Odds ratio","Odds ratio Lower bound (95%)","Odds ratio Upper bound (95%)"]
[null,"Intercept",4.2198313603861788,0.49009795883736906,74.135189694508526,7.3183646642771549E-18,3.2592570121683417,5.1804057086040158]
[null,"AGE",-3.4803377700268555E-2,7.5494187583402114E-3,21.252780535750553,4.0252603291508716E-6,-4.9599966570826458E-2,-2.0006788829710652E-2,0.965795294481679,0.95161002419055185,0.98019201892746732]
[null,"SIBSP",-0.4064492375164474,0.13380308406506189,9.2274219177544659,2.3841711237204397E-3,-0.66869846330435379,-0.14420001172854097,0.66601090312549704,0.51237501888270054,0.86571457767262472]
[null,"PARCH",3.3496576744495202E-2,0.12345528491573765,7.3617570189448991E-2,0.78614063436159853,-0.20847133539148155,0.27546448888047192,1.0340639038552684,0.81182430499491376,1.3171423307695833]
[null,"FARE",-9.69711293284063E-4,2.5282822214567346E-3,0.14710715800799615,0.70131533345192332,-5.925053390092183E-3,3.9856308035240576E-3,0.99903075872477254,0.99409246512229499,1.0039935839926233]
[null,"PCLASS-1",0,0]
[null,"PCLASS-2",-1.2860848292631308,0.3123170567437229,16.956953299965434,3.8237015449002585E-5,-1.8982150122383801,-0.67395464628788171,0.27635062771308344,0.14983583579567611,0.50968894745284354]
[null,"PCLASS-3",-2.238078208009922,0.32752052678245436,46.695332204579998,8.2926297664646931E-12,-2.8800066447011186,-1.5961497713187254,0.10666329219701018,5.613438983665156E-2,0.20267536416466761]
[null,"SEX-female",0,0]
[null,"SEX-male",-2.6026017602380538,0.20891300302167906,155.19741904039358,0,-3.0120637220626523,-2.1931397984134553,7.4080587338656606E-2,4.9190059328696682E-2,0.11156590366701913]
[null,"EMBARKED-C",0,0]
[null,"EMBARKED-Q",-0.8594948041921231,0.51152767870794691,2.8232428351284011,9.2908524345810803E-2,-1.862070631555075,0.14308102317082882,0.4233759160371896,0.15535062320144669,1.1538232842998997]
[null,"EMBARKED-S",-0.46517942122090411,0.24789462205654073,3.5213304146267035,6.0583797566250375E-2,-0.9510439524128923,2.0685109971084081E-2,0.62802241453202501,0.38633749489885444,1.0209005296208542]
[]
[]
[null,"Classification table for the training sample (Variable SURVIVED):"]
[]
[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,null,null,null,null,null," "]
[]
[]
[null,"Classification table for the validation sample (Variable SURVIVED):"]
[]
[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,null,null,null,null,null," "]
[]
[]
[]
[]
[null,null,null,null,null,"Random forests"]
[]
[]
[]
[]
[]
[null,"Misclassification 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,"Importance chart:"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null," "]
[]
[]
[]
[]
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[]
[null,"Predicted classes:"]
[]
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[]
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[null,null,null,null,null,"Support Vector Machine (SVM)"]
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[]
[]
[]
[]
[null,"Confusion matrix for the training sample:"]
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[]
[null,"ROC Curve:"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null," "]
[]
[]
[null,"Confusion matrix for the validation sample:"]
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[null,"from \\ to","0","1","Total","% correct"]
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[]
[null,"ROC Curve (Validation):"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null," "]
[]
[]
[null,"Estimation summary:"]
[]
[null,"Positive class","0"]
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[]
[]
[]
[null,null,null,null,null,"Discriminant Analysis"]
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[]
[]
[]
[]
[null,"Discriminant Analysis:"]
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[null,null,"F1"]
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[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null," "]
[]
[]
[null,"ROC Curve:"]
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[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null," "]
[]
[]
[null,"Cumulative gains curve:"]
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[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null," "]
[]
[]
[null,"Lift Curve:"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null," "]

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{"sheet":"XLSTAT_20220330_163506_1_HID","index":6,"n_rows":0,"n_cols":0,"rows_kept":0,"cut":false,"hidden":true,"merged":[]}

{"sheet":"Easy Predict1","index":7,"n_rows":18,"n_cols":5,"rows_kept":18,"cut":false,"hidden":false,"merged":[]}
[null,"XLSTAT 2022.1.2.12345 - Easy Predict - Start time: 30/03/2022 at 16:36:08 / End time: 30/03/2022 at 16:36:09 / Microsoft Excel 16.014931"]
[null,"Predictions: X / Quantitative variables: Workbook = demoEasyFitAndPred.xlsm / Sheet = Data / Range = Data!$Q$1:$T$5 / 4 rows and 4 columns"]
[null,"Predictions: X / Qualitative variables: Workbook = demoEasyFitAndPred.xlsm / Sheet = Data / Range = Data!$N$1:$P$5 / 4 rows and 3 columns"]
[null,"Observation labels: Workbook = demoEasyFitAndPred.xlsm / Sheet = Data / Range = Data!$M$1:$M$5 / 4 rows and 1 column"]
[null,"Seed (random numbers): 123456789"]
[]
[]
[]
[]
[null,"Logistic regression"]
[]
[null,"Predictions for the new observations (Variable SURVIVED):"]
[]
[null,"Observation","Pred(SURVIVED)","Pr(0)","Pr(1)"]
[null,"Thalia","1",7.3761681365097906E-2,0.92623831863490214]
[null,"Alexandre","1",0.32696753919645177,0.67303246080354817]
[null,"Damien","0",0.73763441547802777,0.26236558452197223]
[null,"Clemence","1",4.5879005326245996E-2,0.95412099467375411]

{"sheet":"Easy Fit_HID1","index":8,"n_rows":13,"n_cols":2,"rows_kept":13,"cut":false,"hidden":true,"merged":[]}
["Source","1"]
["AGE",-0.27528517392686019]
["SIBSP",-0.18701774641481375]
["PARCH",1.5773088228496709E-2]
["FARE",-2.9218928610357939E-2]
["PCLASS-1",0]
["PCLASS-2",-0.31148154839459163]
["PCLASS-3",-0.61633875294707863]
["SEX-female",0]
["SEX-male",-0.69127850786101575]
["EMBARKED-C",0]
["EMBARKED-Q",-0.10066773615858354]
["EMBARKED-S",-0.11062353476461644]

{"sheet":"Easy Fit_HID2","index":9,"n_rows":13,"n_cols":2,"rows_kept":13,"cut":false,"hidden":true,"merged":[]}
["Source","1"]
["AGE",-0.27528517392686019]
["SIBSP",-0.18701774641481375]
["PARCH",1.5773088228496709E-2]
["FARE",-2.9218928610357939E-2]
["PCLASS-1",0]
["PCLASS-2",-0.31148154839459163]
["PCLASS-3",-0.61633875294707863]
["SEX-female",0]
["SEX-male",-0.69127850786101575]
["EMBARKED-C",0]
["EMBARKED-Q",-0.10066773615858354]
["EMBARKED-S",-0.11062353476461644]

{"sheet":"Easy Fit_HID","index":10,"n_rows":13,"n_cols":2,"rows_kept":13,"cut":false,"hidden":true,"merged":[]}
["Source","1"]
["AGE",-0.27528517392686019]
["SIBSP",-0.18701774641481375]
["PARCH",1.5773088228496709E-2]
["FARE",-2.9218928610357939E-2]
["PCLASS-1",0]
["PCLASS-2",-0.31148154839459163]
["PCLASS-3",-0.61633875294707863]
["SEX-female",0]
["SEX-male",-0.69127850786101575]
["EMBARKED-C",0]
["EMBARKED-Q",-0.10066773615858354]
["EMBARKED-S",-0.11062353476461644]