From 2c4a1c6761eb2069142a748ad0ef612575357e1e Mon Sep 17 00:00:00 2001 From: ajoubrel-ensae Date: Wed, 14 Feb 2024 11:44:57 +0000 Subject: [PATCH] Ajout analyse descriptive --- 1_Descriptive_Statistics.ipynb | 490 +++++++++++++++++++++++++++++++-- 2_Regression_logistique.ipynb | 108 +++++--- 2 files changed, 537 insertions(+), 61 deletions(-) diff --git a/1_Descriptive_Statistics.ipynb b/1_Descriptive_Statistics.ipynb index 717f1c0..e223399 100644 --- a/1_Descriptive_Statistics.ipynb +++ b/1_Descriptive_Statistics.ipynb @@ -772,6 +772,462 @@ "plt.show()" ] }, + { + "cell_type": "markdown", + "id": "82895dfc-e5ca-4be0-af24-93c1be8f6248", + "metadata": {}, + "source": [ + "### Proportion de tickets de prix 0" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "6e27dd83-f188-43a5-b595-618b4922a358", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "ticket_id 0.418220\n", + "customer_id 0.418220\n", + "purchase_id 0.418220\n", + "event_type_id 0.418220\n", + "supplier_name 0.418220\n", + "purchase_date 0.418220\n", + "type_of_ticket_name 0.418220\n", + "amount 0.418220\n", + "children 0.418220\n", + "is_full_price 0.418220\n", + "name_event_types 0.418220\n", + "name_facilities 0.418220\n", + "name_categories 0.402548\n", + "name_events 0.175585\n", + "name_seasons 0.418220\n", + "dtype: float64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "purchases[purchases['amount'] == 0].count()/len(purchases)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "f663d68b-8a5c-4804-b31a-4477a03ca1e4", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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purchase_idticket_id
count73518.0000007.351800e+04
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ticket_idcustomer_idpurchase_idevent_type_idsupplier_namepurchase_datetype_of_ticket_nameamountchildrenis_full_pricename_event_typesname_facilitiesname_categoriesname_eventsname_seasons
0130708594818751074624vente en ligne2018-12-28 14:47:50+00:00Atelier8.0pricing_formulaFalsespectacle vivantmucemindiv prog enfantl'école des magiciens2018
1130708604818751074624vente en ligne2018-12-28 14:47:50+00:00Atelier4.0pricing_formulaFalsespectacle vivantmucemindiv prog enfantl'école des magiciens2018
2130708614818751074624vente en ligne2018-12-28 14:47:50+00:00Atelier4.0pricing_formulaFalsespectacle vivantmucemindiv prog enfantl'école des magiciens2018
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4130708634818751074624vente en ligne2018-12-28 14:47:50+00:00Atelier4.0pricing_formulaFalsespectacle vivantmucemindiv prog enfantl'école des magiciens2018
................................................
182666720662815125613580076975vente en ligne2023-11-08 17:23:54+00:00Atelier11.0pricing_formulaFalseoffre muséale groupemucemindiv entrées tpNaN2023
182666820662816125613680076985vente en ligne2023-11-08 18:32:18+00:00Atelier11.0pricing_formulaFalseoffre muséale groupemucemindiv entrées tpNaN2023
182666920662817125613680076985vente en ligne2023-11-08 18:32:18+00:00Atelier11.0pricing_formulaFalseoffre muséale groupemucemindiv entrées tpNaN2023
182667020662818125613780076995vente en ligne2023-11-08 19:30:28+00:00Atelier11.0pricing_formulaFalseoffre muséale groupemucemindiv entrées tpNaN2023
182667120662819125613780076995vente en ligne2023-11-08 19:30:28+00:00Atelier11.0pricing_formulaFalseoffre muséale groupemucemindiv entrées tpNaN2023
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1826672 rows × 15 columns

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" + ], + "text/plain": [ + " ticket_id customer_id purchase_id event_type_id supplier_name \\\n", + "0 13070859 48187 5107462 4 vente en ligne \n", + "1 13070860 48187 5107462 4 vente en ligne \n", + "2 13070861 48187 5107462 4 vente en ligne \n", + "3 13070862 48187 5107462 4 vente en ligne \n", + "4 13070863 48187 5107462 4 vente en ligne \n", + "... ... ... ... ... ... \n", + "1826667 20662815 1256135 8007697 5 vente en ligne \n", + "1826668 20662816 1256136 8007698 5 vente en ligne \n", + "1826669 20662817 1256136 8007698 5 vente en ligne \n", + "1826670 20662818 1256137 8007699 5 vente en ligne \n", + "1826671 20662819 1256137 8007699 5 vente en ligne \n", + "\n", + " purchase_date type_of_ticket_name amount \\\n", + "0 2018-12-28 14:47:50+00:00 Atelier 8.0 \n", + "1 2018-12-28 14:47:50+00:00 Atelier 4.0 \n", + "2 2018-12-28 14:47:50+00:00 Atelier 4.0 \n", + "3 2018-12-28 14:47:50+00:00 Atelier 4.0 \n", + "4 2018-12-28 14:47:50+00:00 Atelier 4.0 \n", + "... ... ... ... \n", + "1826667 2023-11-08 17:23:54+00:00 Atelier 11.0 \n", + "1826668 2023-11-08 18:32:18+00:00 Atelier 11.0 \n", + "1826669 2023-11-08 18:32:18+00:00 Atelier 11.0 \n", + "1826670 2023-11-08 19:30:28+00:00 Atelier 11.0 \n", + "1826671 2023-11-08 19:30:28+00:00 Atelier 11.0 \n", + "\n", + " children is_full_price name_event_types name_facilities \\\n", + "0 pricing_formula False spectacle vivant mucem \n", + "1 pricing_formula False spectacle vivant mucem \n", + "2 pricing_formula False spectacle vivant mucem \n", + "3 pricing_formula False spectacle vivant mucem \n", + "4 pricing_formula False spectacle vivant mucem \n", + "... ... ... ... ... \n", + "1826667 pricing_formula False offre muséale groupe mucem \n", + "1826668 pricing_formula False offre muséale groupe mucem \n", + "1826669 pricing_formula False offre muséale groupe mucem \n", + "1826670 pricing_formula False offre muséale groupe mucem \n", + "1826671 pricing_formula False offre muséale groupe mucem \n", + "\n", + " name_categories name_events name_seasons \n", + "0 indiv prog enfant l'école des magiciens 2018 \n", + "1 indiv prog enfant l'école des magiciens 2018 \n", + "2 indiv prog enfant l'école des magiciens 2018 \n", + "3 indiv prog enfant l'école des magiciens 2018 \n", + "4 indiv prog enfant l'école des magiciens 2018 \n", + "... ... ... ... \n", + "1826667 indiv entrées tp NaN 2023 \n", + "1826668 indiv entrées tp NaN 2023 \n", + "1826669 indiv entrées tp NaN 2023 \n", + "1826670 indiv entrées tp NaN 2023 \n", + "1826671 indiv entrées tp NaN 2023 \n", + "\n", + "[1826672 rows x 15 columns]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "purchases" + ] + }, { "cell_type": "markdown", "id": "b8a90eaa-c383-4f73-9fd6-6fbbe8eeefb8", @@ -782,7 +1238,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "id": "dc45c1cd-2a78-48a6-aa2b-6a501254b6f2", "metadata": {}, "outputs": [ @@ -1002,7 +1458,7 @@ "[5 rows x 40 columns]" ] }, - "execution_count": 15, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1022,7 +1478,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "id": "89fcb455-efb4-4ad4-ab88-efd6c8a76287", "metadata": {}, "outputs": [ @@ -1043,7 +1499,7 @@ " dtype='object')" ] }, - "execution_count": 16, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1054,7 +1510,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "id": "d7b2356a-d5fc-4547-b3ff-fded0e304fb6", "metadata": {}, "outputs": [ @@ -1178,7 +1634,7 @@ "9 0.0 " ] }, - "execution_count": 17, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1197,7 +1653,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "id": "5559748f-1745-4651-a9f6-94702c7ee66f", "metadata": {}, "outputs": [ @@ -1357,7 +1813,7 @@ "max 434.000000 " ] }, - "execution_count": 18, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1379,7 +1835,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "id": "4971e35d-a762-4e18-9443-fd9571bd3f1e", "metadata": {}, "outputs": [ @@ -1408,7 +1864,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "id": "bc65a711-d172-4839-b487-3047280fc3a6", "metadata": {}, "outputs": [ @@ -1438,7 +1894,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "id": "c95cc35c-abfc-47c7-9b8a-ac69bfd60dd8", "metadata": {}, "outputs": [ @@ -1466,7 +1922,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "id": "49d5fd2d-9bc1-43ac-9270-1efd73759854", "metadata": {}, "outputs": [ @@ -1511,7 +1967,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "id": "e50e2583-4b8f-478e-87ac-591dde200af8", "metadata": {}, "outputs": [ @@ -1532,7 +1988,7 @@ " dtype='object')" ] }, - "execution_count": 23, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1543,7 +1999,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "id": "c724a315-9fe8-4874-be8f-a8115b17b5e2", "metadata": {}, "outputs": [], @@ -1565,7 +2021,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "id": "58af5dcb-673e-4f4d-ad5c-f66ce1e8a22c", "metadata": {}, "outputs": [ @@ -1586,7 +2042,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "id": "cc3437f7-8b36-4398-9da6-ff15e8e4c8d7", "metadata": {}, "outputs": [ diff --git a/2_Regression_logistique.ipynb b/2_Regression_logistique.ipynb index 501ee86..2dc4112 100644 --- a/2_Regression_logistique.ipynb +++ b/2_Regression_logistique.ipynb @@ -29,7 +29,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "3bf57816-b023-4e84-9450-095620bddebc", "metadata": {}, "outputs": [], @@ -41,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "27002f2f-a78a-414c-8e4f-b15bf6dd9e40", "metadata": {}, "outputs": [ @@ -49,9 +49,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7740/1677066092.py:7: DtypeWarning: Columns (21,39) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/tmp/ipykernel_23374/1677066092.py:7: DtypeWarning: Columns (11,40) have mixed types. Specify dtype option on import or set low_memory=False.\n", " dataset_train = pd.read_csv(file_in, sep=\",\")\n", - "/tmp/ipykernel_7740/1677066092.py:12: DtypeWarning: Columns (21,39) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/tmp/ipykernel_23374/1677066092.py:12: DtypeWarning: Columns (40) have mixed types. Specify dtype option on import or set low_memory=False.\n", " dataset_test = pd.read_csv(file_in, sep=\",\")\n" ] } @@ -73,7 +73,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "c3928b55-8821-46da-b3b5-a036efd6d2cf", "metadata": {}, "outputs": [ @@ -135,7 +135,7 @@ "3 NaN NaN" ] }, - "execution_count": 5, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -146,7 +146,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "7e8a9d4d-7e55-4173-a7f4-8b8baa9610d2", "metadata": {}, "outputs": [], @@ -160,6 +160,27 @@ "dataset_train['y_has_purchased'] = dataset_train['y_has_purchased'].fillna(0)" ] }, + { + "cell_type": "code", + "execution_count": 6, + "id": "b4078b8e-2172-47e6-9f92-106dc3015fc9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "228.0" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset_train['y_has_purchased'].sum()" + ] + }, { "cell_type": "code", "execution_count": 7, @@ -170,45 +191,46 @@ "data": { "text/plain": [ "customer_id 0.000000\n", - "event_type_id 0.950522\n", + "event_type_id 0.967882\n", "nb_tickets 0.000000\n", "nb_purchases 0.000000\n", "total_amount 0.000000\n", "nb_suppliers 0.000000\n", "vente_internet_max 0.000000\n", - "purchase_date_min 0.950522\n", - "purchase_date_max 0.950522\n", - "time_between_purchase 0.950522\n", + "purchase_date_min 0.967882\n", + "purchase_date_max 0.967882\n", + "time_between_purchase 0.967882\n", "nb_tickets_internet 0.000000\n", - "name_event_types 0.950522\n", - "avg_amount 0.950522\n", - "birthdate 0.961918\n", + "name_event_types 0.967882\n", + "avg_amount 0.967882\n", "street_id 0.000000\n", "is_partner 0.000000\n", "gender 0.000000\n", "is_email_true 0.000000\n", "opt_in 0.000000\n", - "structure_id 0.863048\n", - "profession 0.952160\n", - "language 0.991778\n", - "mcp_contact_id 0.297275\n", - "last_buying_date 0.611718\n", - "max_price 0.611718\n", + "structure_id 0.856471\n", + "mcp_contact_id 0.297844\n", + "last_buying_date 0.642312\n", + "max_price 0.642312\n", "ticket_sum 0.000000\n", - "average_price 0.102225\n", + "average_price 0.107403\n", "fidelity 0.000000\n", - "average_purchase_delay 0.611718\n", - "average_price_basket 0.611718\n", - "average_ticket_basket 0.611718\n", - "total_price 0.509493\n", + "average_purchase_delay 0.642312\n", + "average_price_basket 0.642312\n", + "average_ticket_basket 0.642312\n", + "total_price 0.534909\n", "purchase_count 0.000000\n", - "first_buying_date 0.611718\n", - "country 0.063488\n", - "age 0.961918\n", + "first_buying_date 0.642312\n", + "country 0.066622\n", "tenant_id 0.000000\n", + "gender_label 0.000000\n", + "gender_female 0.000000\n", + "gender_male 0.000000\n", + "gender_other 0.000000\n", + "country_fr 0.066622\n", "nb_campaigns 0.000000\n", "nb_campaigns_opened 0.000000\n", - "time_to_open 0.543355\n", + "time_to_open 0.553988\n", "y_has_purchased 0.000000\n", "dtype: float64" ] @@ -224,28 +246,28 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "2ce94258-e2d1-472a-81fc-fc11e247b423", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "161.0" + "121789.0" ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dataset_train['y_has_purchased'].sum()" + "len(dataset_train) - dataset_train['y_has_purchased'].sum()" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "34bae3f7-d579-4f80-a38d-a83eb5ea8a7b", "metadata": {}, "outputs": [ @@ -253,18 +275,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "Accuracy: 0.9985491193310349\n", + "Accuracy: 0.9986037223669636\n", "Confusion Matrix:\n", - " [[127988 49]\n", - " [ 137 24]]\n", + " [[128000 37]\n", + " [ 142 19]]\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", " 0.0 1.00 1.00 1.00 128037\n", - " 1.0 0.33 0.15 0.21 161\n", + " 1.0 0.34 0.12 0.18 161\n", "\n", " accuracy 1.00 128198\n", - " macro avg 0.66 0.57 0.60 128198\n", + " macro avg 0.67 0.56 0.59 128198\n", "weighted avg 1.00 1.00 1.00 128198\n", "\n" ] @@ -304,15 +326,13 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "id": "ccc78c36-3287-46e6-89ac-7494c1a7106a", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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