From b19309cc79da3acfa1137091736958cf944cd6d6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana?= <rmontanana@gmail.com>
Date: Sun, 11 Apr 2021 11:22:04 +0200
Subject: [PATCH] Add nodes/leaves/depth to oc1 process

---
 oc1_process.sh               |  2 +
 oc1results.py                | 20 ++++++--
 results/normalizados/oc1.sql | 98 ++++++++++++++++++------------------
 scripts/all.txt              |  1 -
 4 files changed, 66 insertions(+), 55 deletions(-)

diff --git a/oc1_process.sh b/oc1_process.sh
index add2333..58ba351 100755
--- a/oc1_process.sh
+++ b/oc1_process.sh
@@ -3,6 +3,7 @@ rm -f data/csv/*
 printf "Generating csv  datasets\n"
 printf "========================\n"
 python oc1datasets.py
+printf "\n"
 printf "Processing datasets\n"
 printf "===================\n"
 while read dataset
@@ -15,6 +16,7 @@ do
 	done
 	echo "done"
 done <scripts/all.txt
+printf "\n"
 printf "Generating SQL\n"
 printf "==============\n"
 python oc1results.py
diff --git a/oc1results.py b/oc1results.py
index 9ce6c81..64a3f22 100755
--- a/oc1results.py
+++ b/oc1results.py
@@ -5,7 +5,7 @@ from experimentation.Database import MySQL
 from statistics import mean, stdev
 
 
-def store_result(database, dataset, accuracy, time_spent):
+def store_result(database, dataset, accuracy, time_spent, nodes, leaves, depth):
     attributes = [
         "date",
         "time",
@@ -19,6 +19,9 @@ def store_result(database, dataset, accuracy, time_spent):
         "time_spent",
         "time_spent_std",
         "parameters",
+        "nodes",
+        "leaves",
+        "depth"
     ]
     command_insert = (
         "insert into results ("
@@ -43,6 +46,9 @@ def store_result(database, dataset, accuracy, time_spent):
         mean(time_spent),
         stdev(time_spent),
         "{}",
+        nodes,
+        leaves,
+        depth
     )
     print(command_insert % values, file=database)
     #cursor = database.cursor()
@@ -58,12 +64,15 @@ def get_result(name):
         result_file = open(filename, "r")
         lines = result_file.readlines()
         result_file.close()
-        data = lines[-6:-1]
+        data = lines[-9:-4]
         for line in data:
             acc, time_s = line.split("***")[2:4]
             accuracy.append(float(acc))
             time_spent.append(float(time_s))
-    return accuracy, time_spent
+        leaves = float(lines[-3:-2][0].split("=")[1])
+        nodes = float(lines[-2:-1][0].split("=")[1])
+        depth = float(lines[-1:][0].split("=")[1])
+    return accuracy, time_spent, nodes, leaves, depth
 
 
 #dbh = MySQL()
@@ -72,14 +81,15 @@ database = open("oc1.sql", "w")
 dt = Datasets(False, False, "tanveer")
 for dataset in dt:
     print(f"Processing {dataset[0]:30s}", end=" ")
-    accuracy, time_spent = get_result(dataset[0])
+    accuracy, time_spent, nodes, leaves, depth = get_result(dataset[0])
     accuracy_mean, accuracy_std = mean(accuracy), stdev(accuracy)
     time_mean, time_std = mean(time_spent), stdev(time_spent)
     print(
+        f"nodes={nodes:6.2f} leaves={leaves:6.2f} depth={depth:5.2f} "
         f"accuracy=[{accuracy_mean:05.3f}\u00B1{accuracy_std:05.3f}] "
         f"time=[{time_mean:05.3f}\u00B1{time_std:05.3f}] "
         f"elements=[{len(accuracy)} {len(time_spent)}]"
     )
-    store_result(database, dataset[0], accuracy, time_spent)
+    store_result(database, dataset[0], accuracy, time_spent, nodes, leaves, depth)
 #dbh.close()
 database.close
diff --git a/results/normalizados/oc1.sql b/results/normalizados/oc1.sql
index 4e7619c..a28d4e2 100644
--- a/results/normalizados/oc1.sql
+++ b/results/normalizados/oc1.sql
@@ -1,49 +1,49 @@
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.914399992","0.029593164241038455","balance-scale","oc1","1","0","0.17068344","0.02257135187433624","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.589999968","0.26073331346959727","balloons","oc1","1","0","0.00028996","0.0002635250024926961","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.933611682","0.026153564189107213","breast-cancer-wisc-diag","oc1","1","0","0.49665074","0.07901283645694437","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.703846134","0.07650658245540416","breast-cancer-wisc-prog","oc1","1","0","0.15196414","0.042091221052788355","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.945050076","0.015173648280147277","breast-cancer-wisc","oc1","1","0","0.25119896","0.03629232541290126","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.669679358","0.07527221131701325","breast-cancer","oc1","1","0","0.12061468","0.029734309884436084","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.805643748","0.020680279226445945","cardiotocography-10clases","oc1","1","0","6.10809236","0.4273340514720787","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.909497716","0.013982362833392525","cardiotocography-3clases","oc1","1","0","3.3990678","0.49904758271290306","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.715410214","0.0850464558161465","conn-bench-sonar-mines-rocks","oc1","1","0","0.09893478","0.008750317426988648","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.677726236","0.043664867326531236","cylinder-bands","oc1","1","0","0.54137858","0.12026196652412005","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.931162552","0.037573204772383274","dermatology","oc1","1","0","0.32840074","0.026059906775257314","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.748119658","0.08717495251201153","echocardiogram","oc1","1","0","0.03542112","0.006116803959518702","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.772","0.08339725439615099","fertility","oc1","1","0","0.024602","0.0063904339956736295","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.641221574","0.07049310650191065","haberman-survival","oc1","1","0","0.07709774","0.008688068437571056","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.750522798","0.06329668712180851","heart-hungarian","oc1","1","0","0.12689386","0.01985840397024157","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.779354858","0.08481264197652374","hepatitis","oc1","1","0","0.04831674","0.013190962320127383","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.664915948","0.049496575823232414","ilpd-indian-liver","oc1","1","0","0.27669258","0.029252940796934922","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.89059155","0.03733780370201089","ionosphere","oc1","1","0","0.27965322","0.03869909627288947","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.949333302","0.03882632447334653","iris","oc1","1","0","0.0161875","0.003323844413277112","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.7017","0.02933984544288269","led-display","oc1","1","0","0.32548702","0.019686676055180888","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.633611112","0.06095436683067444","libras","oc1","1","0","0.5820548","0.09096758865729293","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.832939518","0.03553219969478499","low-res-spect","oc1","1","0","1.13226426","0.20721240678084554","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.730237072","0.09173834512482136","lymphography","oc1","1","0","0.05791348","0.00954374481808127","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.772657058","0.0410826060780536","mammographic","oc1","1","0","0.36441104","0.029959845759228044","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.73480519","0.07929681982000171","molec-biol-promoter","oc1","1","0","0.0040525","0.0017641099305141887","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.76912501","0.045549030106832825","musk-1","oc1","1","0","0.69590694","0.06222178911498605","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.725179892","0.03125153408262522","oocytes_merluccius_nucleus_4d","oc1","1","0","1.26963092","0.1656961028648704","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.88541974","0.022980862858349885","oocytes_merluccius_states_2f","oc1","1","0","1.0916332","0.14759774462687014","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.722030574","0.03423923425578281","oocytes_trisopterus_nucleus_2f","oc1","1","0","0.78529666","0.0738741504536559","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.86676659","0.02691477761893708","oocytes_trisopterus_states_5b","oc1","1","0","1.15194274","0.14687075315264403","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.846666676","0.058030588988076656","parkinsons","oc1","1","0","0.0900169","0.02173317151104669","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.693122168","0.03596779276948685","pima","oc1","1","0","0.42344738","0.04665568188767231","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.803766236","0.09698857763603047","pittsburg-bridges-MATERIAL","oc1","1","0","0.01909142","0.003736799334855913","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.62873913","0.11035406374176591","pittsburg-bridges-REL-L","oc1","1","0","0.0241664","0.003380282448046528","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.5948888800000001","0.1164685695698971","pittsburg-bridges-SPAN","oc1","1","0","0.01991184","0.002621341091261245","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.817545458","0.07618192337367363","pittsburg-bridges-T-OR-D","oc1","1","0","0.01503142","0.004421977630759656","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.56903508","0.09440187538222114","planning","oc1","1","0","0.06697142","0.015423120089975179","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.566666656","0.11771743358490966","post-operative","oc1","1","0","0.01977164","0.0049720226769804825","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.926666678","0.036898101629179524","seeds","oc1","1","0","0.037291080000000004","0.0041123469233467136","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.587536242","0.05396622166271625","statlog-australian-credit","oc1","1","0","0.5790832","0.09438763182358856","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.6876","0.03162664854136749","statlog-german-credit","oc1","1","0","1.54887748","0.360263442292524","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.73444444","0.06120324824560424","statlog-heart","oc1","1","0","0.12642642","0.022116804855676638","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.956709956","0.010495090136727007","statlog-image","oc1","1","0","2.86139898","0.15133891711483002","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.685908124","0.038501210650949656","statlog-vehicle","oc1","1","0","0.83853216","0.06536236204964269","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.8705","0.03384849614993016","synthetic-control","oc1","1","0","1.34269542","0.10505480210766771","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.93214282","0.025980381693147463","tic-tac-toe","oc1","1","0","0.4509824","0.0850752201450851","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.804838712","0.05376616787774837","vertebral-column-2clases","oc1","1","0","0.06407496","0.005927587825324799","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.9045263179999999","0.055238170669175995","wine","oc1","1","0","0.03852932","0.004958763783732508","{}");
-insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters) values("2021-04-11","03:17:50","crossval","0.882285718","0.08147399857032814","zoo","oc1","1","0","0.01893026","0.002249859123118057","{}");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.914399992","0.029593164241038455","balance-scale","oc1","1","0","0.17182074","0.023016700220784676","{}","40.2","20.6","7.4");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.589999968","0.26073331346959727","balloons","oc1","1","0","0.00028618000000000003","0.00025831555532419836","{}","5.4","3.2","2.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.933611682","0.026153564189107213","breast-cancer-wisc-diag","oc1","1","0","0.49354424","0.07636875470161811","{}","22.6","11.8","6.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.703846134","0.07650658245540416","breast-cancer-wisc-prog","oc1","1","0","0.15721566","0.04308001731548455","{}","28.6","14.8","6.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.945050076","0.015173648280147277","breast-cancer-wisc","oc1","1","0","0.25820094","0.03820597351329197","{}","31.0","16.0","7.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.669679358","0.07527221131701325","breast-cancer","oc1","1","0","0.1264256","0.030713546588448822","{}","61.4","31.2","10.6");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.805643748","0.020680279226445945","cardiotocography-10clases","oc1","1","0","6.03769478","0.36862710519491004","{}","311.4","156.2","15.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.909497716","0.013982362833392525","cardiotocography-3clases","oc1","1","0","3.27137284","0.45829975379850446","{}","134.6","67.8","11.4");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.715410214","0.0850464558161465","conn-bench-sonar-mines-rocks","oc1","1","0","0.095154","0.00918028071466227","{}","25.0","13.0","5.6");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.677726236","0.043664867326531236","cylinder-bands","oc1","1","0","0.51766612","0.11264194242578869","{}","94.6","47.8","11.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.931162552","0.037573204772383274","dermatology","oc1","1","0","0.31285398","0.026052008314210128","{}","22.2","11.6","6.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.748119658","0.08717495251201153","echocardiogram","oc1","1","0","0.03400498","0.005967182121318201","{}","19.0","10.0","5.4");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.772","0.08339725439615099","fertility","oc1","1","0","0.0240597","0.00622999994513054","{}","14.6","7.8","5.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.641221574","0.07049310650191065","haberman-survival","oc1","1","0","0.0744118","0.008971614217824426","{}","70.6","35.8","10.6");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.750522798","0.06329668712180851","heart-hungarian","oc1","1","0","0.12114706","0.019238823176078317","{}","43.4","22.2","7.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.779354858","0.08481264197652374","hepatitis","oc1","1","0","0.04693714","0.013074186157228967","{}","21.0","11.0","5.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.664915948","0.049496575823232414","ilpd-indian-liver","oc1","1","0","0.26305604","0.02857327002205854","{}","117.0","59.0","15.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.89059155","0.03733780370201089","ionosphere","oc1","1","0","0.26317906","0.037323321091816804","{}","23.0","12.0","7.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.949333302","0.03882632447334653","iris","oc1","1","0","0.0159865","0.003219944727944939","{}","7.4","4.2","3.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.7017","0.02933984544288269","led-display","oc1","1","0","0.30812904","0.017626738021076775","{}","123.0","62.0","8.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.633611112","0.06095436683067444","libras","oc1","1","0","0.54878306","0.0855854241711014","{}","105.8","53.4","8.6");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.832939518","0.03553219969478499","low-res-spect","oc1","1","0","1.06630056","0.19379683882082624","{}","63.0","32.0","8.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.730237072","0.09173834512482136","lymphography","oc1","1","0","0.0554647","0.009491613772705043","{}","18.2","9.6","4.4");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.772657058","0.0410826060780536","mammographic","oc1","1","0","0.34705172","0.02890701623046854","{}","179.4","90.2","14.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.73480519","0.07929681982000171","molec-biol-promoter","oc1","1","0","0.0030062","0.00023204081273670414","{}","20.6","10.8","4.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.76912501","0.045549030106832825","musk-1","oc1","1","0","0.65899592","0.05898071206615095","{}","59.4","30.2","11.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.725179892","0.03125153408262522","oocytes_merluccius_nucleus_4d","oc1","1","0","1.20757308","0.1573935956992416","{}","165.0","83.0","12.6");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.88541974","0.022980862858349885","oocytes_merluccius_states_2f","oc1","1","0","1.03190232","0.1392155696346922","{}","66.2","33.6","7.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.722030574","0.03423923425578281","oocytes_trisopterus_nucleus_2f","oc1","1","0","0.74104704","0.07064859289092568","{}","141.4","71.2","12.4");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.86676659","0.02691477761893708","oocytes_trisopterus_states_5b","oc1","1","0","1.09058706","0.13758579207933633","{}","89.0","45.0","12.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.846666676","0.058030588988076656","parkinsons","oc1","1","0","0.08546764","0.02077778735618342","{}","18.6","9.8","5.6");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.693122168","0.03596779276948685","pima","oc1","1","0","0.40212398","0.04424829635299475","{}","122.2","61.6","9.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.803766236","0.09698857763603047","pittsburg-bridges-MATERIAL","oc1","1","0","0.01867654","0.0037286186762742614","{}","14.2","7.6","3.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.62873913","0.11035406374176591","pittsburg-bridges-REL-L","oc1","1","0","0.02396824","0.004048664786503001","{}","28.6","14.8","6.6");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.5948888800000001","0.1164685695698971","pittsburg-bridges-SPAN","oc1","1","0","0.0194149","0.002548420753473549","{}","25.0","13.0","5.8");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.817545458","0.07618192337367363","pittsburg-bridges-T-OR-D","oc1","1","0","0.01460786","0.004289329637029782","{}","16.2","8.6","5.4");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.56903508","0.09440187538222114","planning","oc1","1","0","0.0640016","0.014750071038223954","{}","41.8","21.4","8.6");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.566666656","0.11771743358490966","post-operative","oc1","1","0","0.01926424","0.004852894375398615","{}","32.2","16.6","7.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.926666678","0.036898101629179524","seeds","oc1","1","0","0.03579408","0.004055048130467524","{}","11.8","6.4","4.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.587536242","0.05396622166271625","statlog-australian-credit","oc1","1","0","0.54565256","0.08693395330285902","{}","145.4","73.2","13.4");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.6876","0.03162664854136749","statlog-german-credit","oc1","1","0","1.45512862","0.33086435293586547","{}","190.2","95.6","19.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.73444444","0.06120324824560424","statlog-heart","oc1","1","0","0.11858528","0.020274010643004336","{}","33.8","17.4","7.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.956709956","0.010495090136727007","statlog-image","oc1","1","0","2.76539704","0.12361159429850736","{}","103.0","52.0","12.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.685908124","0.038501210650949656","statlog-vehicle","oc1","1","0","0.84192528","0.06554530867878762","{}","178.6","89.8","13.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.8705","0.03384849614993016","synthetic-control","oc1","1","0","1.33670054","0.10130402414297071","{}","44.2","22.6","7.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.93214282","0.025980381693147463","tic-tac-toe","oc1","1","0","0.45076252","0.08395466496215535","{}","36.6","18.8","8.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.804838712","0.05376616787774837","vertebral-column-2clases","oc1","1","0","0.06367808","0.006029835263055853","{}","36.6","18.8","7.0");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.9045263179999999","0.055238170669175995","wine","oc1","1","0","0.03915106","0.005349230802648171","{}","9.0","5.0","3.2");
+insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","11:15:07","crossval","0.882285718","0.08147399857032814","zoo","oc1","1","0","0.01875586","0.0020833956584854255","{}","14.2","7.6","4.0");
diff --git a/scripts/all.txt b/scripts/all.txt
index 88d3b7e..dbc890f 100644
--- a/scripts/all.txt
+++ b/scripts/all.txt
@@ -47,4 +47,3 @@ tic-tac-toe
 vertebral-column-2clases
 wine
 zoo
-