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authorNiclas Dobbertin <niclas.dobbertin@mailbox.org>2024-02-26 20:24:54 +0100
committerNiclas Dobbertin <niclas.dobbertin@mailbox.org>2024-02-26 20:24:54 +0100
commit22074d8dbea46fadbd12dafb27a4aa9006d3c7d1 (patch)
treeacd3f2845175ea7f1831c9f145ce9282ce757f6e /experiment/analysis/analysis.py
parente381a1e64ddb9e3bacba25389214cfd4756bba06 (diff)
analysis update
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diff --git a/experiment/analysis/analysis.py b/experiment/analysis/analysis.py
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+import pandas as pd
+from pathlib import Path
+from pprint import pprint
+
+import tools
+
+data_path = Path("/home/niclas/repos/uni/master_thesis/experiment/data")
+
+procedures = ["1", "2", "3", "4", "5", "6", "overall"]
+
+conditions = [x.stem for x in data_path.iterdir() if x.is_dir()]
+
+data = {}
+for condition in conditions:
+ data[condition] = {}
+ for vp in (data_path / condition).iterdir():
+ data[condition][vp.stem] = tools.unpickle(vp / "vp.pkl")
+
+data_train, data_test = tools.train_test_split(data)
+print(data_train["random"]["vp12"])
+
+condition = "random"
+df = pd.DataFrame([tools.total_accuracy(data[condition][vp], procedures) for vp in data[condition].keys()], index=data[condition].keys(), columns=["train", "test"])
+
+condition = "random"
+proc_accs = [
+ tools.count_correct(data[condition][vp], data[condition][vp].keys(), procedures)
+ for vp in data[condition].keys()
+]
+for vp in proc_accs:
+ for proc in vp.keys():
+ vp[proc] /= len(next(iter(data[condition].values())).keys())
+df = pd.DataFrame(proc_accs, index=data[condition].keys())