Add stree default to analysis

add experiment to report_mysql
fix crosval experiment to get the best "gridsearch" parameters

analysis_mysql.py

@@ -8,6 +8,7 @@ from experimentation.Database import MySQL
 report_csv = "report.csv"
 models_tree = [
     "stree",
+    "stree_default",
     "wodt",
     "j48svm",
     "oc1",
@@ -18,7 +19,7 @@ models_ensemble = ["odte", "adaBoost", "bagging", "TBRaF", "TBRoF", "TBRRoF"]
 description = ["samp", "var", "cls"]
 complexity = ["nodes", "leaves", "depth"]
 title = "Best model results"
-lengths = (30, 4, 3, 3, 3, 3, 3, 12, 12, 12, 12, 12, 12)
+lengths = [30, 4, 3, 3, 3, 3, 3, 12, 12, 12, 12, 12, 12, 12]
 
 
 def parse_arguments() -> Tuple[str, str, str, bool, bool]:
@@ -46,8 +47,15 @@ def parse_arguments() -> Tuple[str, str, str, bool, bool]:
         required=False,
         default=False,
     )
+    ap.add_argument(
+        "-o",
+        "--compare",
+        type=bool,
+        required=False,
+        default=False,
+    )
     args = ap.parse_args()
-    return (args.experiment, args.model, args.csv_output)
+    return (args.experiment, args.model, args.csv_output, args.compare)
 
 
 def report_header_content(title, experiment, model_type):
@@ -102,7 +110,7 @@ def report_footer(agg):
         )
 
 
-(experiment, model_type, csv_output) = parse_arguments()
+(experiment, model_type, csv_output, compare) = parse_arguments()
 dbh = MySQL()
 database = dbh.get_connection()
 dt = Datasets(False, False, "tanveer")
@@ -115,6 +123,10 @@ fields = (
     "Lea",
     "Dep",
 )
+if not compare:
+    # remove stree_default from fields list and lengths
+    models_tree.pop(1)
+    lengths.pop(7)
 models = models_tree if model_type == "tree" else models_ensemble
 for item in models:
     fields += (f"{item}",)

experimentation/Experiments.py

@@ -46,7 +46,9 @@ class Experiment:
         model = self._clf.get_model()
         hyperparams = MySQL()
         hyperparams.get_connection()
-        record = hyperparams.find_best(dataset, self._model_name)
+        record = hyperparams.find_best(
+            dataset, self._model_name, experiment="gridsearch"
+        )
         hyperparams.close()
         if record is None:
             try:

report.csv

@@ -23,13 +23,13 @@ breast-cancer-wisc-prog, j48svm, 0.724038
 breast-cancer-wisc-prog, oc1, 0.71
 breast-cancer-wisc-prog, cart, 0.699833
 breast-cancer-wisc-prog, baseRaF, 0.74485
-breast-cancer-wisc, stree, 0.965802
+breast-cancer-wisc, stree, 0.966661
 breast-cancer-wisc, wodt, 0.946208
 breast-cancer-wisc, j48svm, 0.967674
 breast-cancer-wisc, oc1, 0.940194
 breast-cancer-wisc, cart, 0.940629
 breast-cancer-wisc, baseRaF, 0.942857
-breast-cancer, stree, 0.733158
+breast-cancer, stree, 0.734211
 breast-cancer, wodt, 0.650236
 breast-cancer, j48svm, 0.707719
 breast-cancer, oc1, 0.649728
@@ -47,13 +47,13 @@ cardiotocography-3clases, j48svm, 0.927327
 cardiotocography-3clases, oc1, 0.899811
 cardiotocography-3clases, cart, 0.929258
 cardiotocography-3clases, baseRaF, 0.896715
-conn-bench-sonar-mines-rocks, stree, 0.71439
+conn-bench-sonar-mines-rocks, stree, 0.755528
 conn-bench-sonar-mines-rocks, wodt, 0.824959
 conn-bench-sonar-mines-rocks, j48svm, 0.73892
 conn-bench-sonar-mines-rocks, oc1, 0.710798
 conn-bench-sonar-mines-rocks, cart, 0.728711
 conn-bench-sonar-mines-rocks, baseRaF, 0.772981
-cylinder-bands, stree, 0.687101
+cylinder-bands, stree, 0.715049
 cylinder-bands, wodt, 0.704074
 cylinder-bands, j48svm, 0.726351
 cylinder-bands, oc1, 0.67106
@@ -77,7 +77,7 @@ fertility, j48svm, 0.857
 fertility, oc1, 0.793
 fertility, cart, 0.8
 fertility, baseRaF, 0.798
-haberman-survival, stree, 0.727795
+haberman-survival, stree, 0.735637
 haberman-survival, wodt, 0.664707
 haberman-survival, j48svm, 0.714056
 haberman-survival, oc1, 0.651634
@@ -95,7 +95,7 @@ hepatitis, j48svm, 0.761935
 hepatitis, oc1, 0.756774
 hepatitis, cart, 0.765161
 hepatitis, baseRaF, 0.773671
-ilpd-indian-liver, stree, 0.719207
+ilpd-indian-liver, stree, 0.723498
 ilpd-indian-liver, wodt, 0.676176
 ilpd-indian-liver, j48svm, 0.690339
 ilpd-indian-liver, oc1, 0.660139
@@ -137,7 +137,7 @@ lymphography, j48svm, 0.778552
 lymphography, oc1, 0.734634
 lymphography, cart, 0.766276
 lymphography, baseRaF, 0.761622
-mammographic, stree, 0.817068
+mammographic, stree, 0.81915
 mammographic, wodt, 0.759839
 mammographic, j48svm, 0.821435
 mammographic, oc1, 0.768805
@@ -167,7 +167,7 @@ oocytes_merluccius_states_2f, j48svm, 0.901374
 oocytes_merluccius_states_2f, oc1, 0.889223
 oocytes_merluccius_states_2f, cart, 0.891193
 oocytes_merluccius_states_2f, baseRaF, 0.910551
-oocytes_trisopterus_nucleus_2f, stree, 0.799995
+oocytes_trisopterus_nucleus_2f, stree, 0.800986
 oocytes_trisopterus_nucleus_2f, wodt, 0.751431
 oocytes_trisopterus_nucleus_2f, j48svm, 0.756587
 oocytes_trisopterus_nucleus_2f, oc1, 0.747697
@@ -179,13 +179,13 @@ oocytes_trisopterus_states_5b, j48svm, 0.887943
 oocytes_trisopterus_states_5b, oc1, 0.86393
 oocytes_trisopterus_states_5b, cart, 0.870263
 oocytes_trisopterus_states_5b, baseRaF, 0.922149
-parkinsons, stree, 0.865641
+parkinsons, stree, 0.882051
 parkinsons, wodt, 0.901538
 parkinsons, j48svm, 0.844615
 parkinsons, oc1, 0.865641
 parkinsons, cart, 0.855897
 parkinsons, baseRaF, 0.87924
-pima, stree, 0.764053
+pima, stree, 0.766651
 pima, wodt, 0.681591
 pima, j48svm, 0.749876
 pima, oc1, 0.693027
@@ -197,7 +197,7 @@ pittsburg-bridges-MATERIAL, j48svm, 0.855844
 pittsburg-bridges-MATERIAL, oc1, 0.81026
 pittsburg-bridges-MATERIAL, cart, 0.783593
 pittsburg-bridges-MATERIAL, baseRaF, 0.81136
-pittsburg-bridges-REL-L, stree, 0.564048
+pittsburg-bridges-REL-L, stree, 0.62519
 pittsburg-bridges-REL-L, wodt, 0.617143
 pittsburg-bridges-REL-L, j48svm, 0.645048
 pittsburg-bridges-REL-L, oc1, 0.604957
@@ -209,7 +209,7 @@ pittsburg-bridges-SPAN, j48svm, 0.621579
 pittsburg-bridges-SPAN, oc1, 0.579333
 pittsburg-bridges-SPAN, cart, 0.557544
 pittsburg-bridges-SPAN, baseRaF, 0.630217
-pittsburg-bridges-T-OR-D, stree, 0.849952
+pittsburg-bridges-T-OR-D, stree, 0.861619
 pittsburg-bridges-T-OR-D, wodt, 0.818429
 pittsburg-bridges-T-OR-D, j48svm, 0.838333
 pittsburg-bridges-T-OR-D, oc1, 0.831545
@@ -239,13 +239,13 @@ statlog-australian-credit, j48svm, 0.66029
 statlog-australian-credit, oc1, 0.573913
 statlog-australian-credit, cart, 0.595507
 statlog-australian-credit, baseRaF, 0.678261
-statlog-german-credit, stree, 0.7569
+statlog-german-credit, stree, 0.7625
 statlog-german-credit, wodt, 0.6929
 statlog-german-credit, j48svm, 0.7244
 statlog-german-credit, oc1, 0.6874
 statlog-german-credit, cart, 0.6738
 statlog-german-credit, baseRaF, 0.68762
-statlog-heart, stree, 0.822222
+statlog-heart, stree, 0.822963
 statlog-heart, wodt, 0.777778
 statlog-heart, j48svm, 0.795926
 statlog-heart, oc1, 0.749259
@@ -275,13 +275,13 @@ tic-tac-toe, j48svm, 0.983295
 tic-tac-toe, oc1, 0.91849
 tic-tac-toe, cart, 0.951558
 tic-tac-toe, baseRaF, 0.974906
-vertebral-column-2clases, stree, 0.851936
+vertebral-column-2clases, stree, 0.852903
 vertebral-column-2clases, wodt, 0.801935
 vertebral-column-2clases, j48svm, 0.84871
 vertebral-column-2clases, oc1, 0.815161
 vertebral-column-2clases, cart, 0.784839
 vertebral-column-2clases, baseRaF, 0.822601
-wine, stree, 0.949333
+wine, stree, 0.97581
 wine, wodt, 0.973048
 wine, j48svm, 0.979143
 wine, oc1, 0.916165

report_mysql.py

@@ -17,6 +17,14 @@ def parse_arguments() -> Tuple[str, str, str, bool, bool]:
         required=False,
         default="any",
     )
+    ap.add_argument(
+        "-e",
+        "--experiment",
+        type=str,
+        choices=["gridsearch", "crossval"],
+        required=False,
+        default="crossval",
+    )
     ap.add_argument(
         "-x",
         "--excludeparams",
@@ -29,6 +37,7 @@ def parse_arguments() -> Tuple[str, str, str, bool, bool]:
     return (
         args.model,
         args.excludeparams,
+        args.experiment,
     )
 
 
@@ -54,7 +63,7 @@ def report_header(exclude_params):
 
 def report_line(record, agg):
     accuracy = record[5]
-    expected = record[13]
+    expected = record[16]
     if accuracy < expected:
         agg["worse"] += 1
         sign = "-"
@@ -94,6 +103,7 @@ def report_footer(agg):
 (
     classifier,
     exclude_parameters,
+    experiment,
 ) = parse_arguments()
 dbh = MySQL()
 database = dbh.get_connection()
@@ -124,7 +134,7 @@ for item in [
 ] + models:
     agg[item] = 0
 for dataset in dt:
-    record = dbh.find_best(dataset[0], classifier)
+    record = dbh.find_best(dataset[0], classifier, experiment=experiment)
     if record is None:
         print(TextColor.FAIL + f"*No results found for {dataset[0]}")
     else: