Repository: sebp/scikit-survival (language: python)

Issue:
SurvivalTree is handling sample_weight incorrectly
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Before submitting a bug, please make sure the issue hasn't been already
addressed by searching through the past issues.
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**Describe the bug**

Weighting samples by passing `sample_weight` to `SurvivalTree.fit()` is not considered.

This is essential for `RandomSurvivalForest` to work correctly, because bootstrap samples for each tree in the ensemble are created by passing `sample_weight` to `SurvivalTree.fit()`. For instance, `sample_weight=[1, 0, 2, 1]` would represent a bootstrap dataset where the first and last sample appear once, the second sample is not part of the sample, and the third sample appears twice.

**Code Sample to Reproduce the Bug**

<Details>

```python
from sksurv.datasets import load_whas500
from sksurv.preprocessing import OneHotEncoder
from sksurv.tree import SurvivalTree


X, y =  load_whas500()
Xt = OneHotEncoder().fit_transform(X)

n_samples = Xt.shape[0]
weights = np.ones(n_samples, dtype=int)
weights[:11] = np.arange(11, dtype=int)

y_array = np.empty((Xt.shape[0], 2), dtype=float)
y_array[:, 0] = y["lenfol"]
y_array[:, 1] = y["fstat"].astype(float)

X_repeat = np.repeat(Xt, weights, axis=0)
y_repeat = np.repeat(y_array, weights, axis=0)

# fit on the full data to create unique_times_ and is_event_time_
t0 = SurvivalTree(random_state=2).fit(Xt, y)

# fit on dataset where samples have been copiied
t1 = SurvivalTree(random_state=2)._fit(
    X_repeat, (y_repeat, t0.unique_times_, t0.is_event_time_),
    check_input=False
)

# fit on dataset where sample_weight is used
t2 = SurvivalTree(random_state=2)._fit(
    Xt.values, (y_array, t0.unique_times_, t0.is_event_time_),
    sample_weight=weights.astype(float),
    check_input=False
)

value_1 = t1.tree_.value
value_2 = t2.tree_.value

# check that both trees are identical
assert np.allclose(value_1, value_2)
```

The example fails, whereas using a DecisionTreeClassifier for illustration does result in identical trees.

```python
from sklearn.tree import DecisionTreeClassifier

t1 = DecisionTreeClassifier(random_state=2).fit(
    X_repeat, y_repeat[:, 1]
)
t2 = DecisionTreeClassifier(random_state=2).fit(
    Xt, y["fstat"], sample_weight=weights
)

value_1 = t1.tree_.value
value_2 = t2.tree_.value

print(np.allclose(value_1, value_2))
```

</Details>

**Expected Results**
The trees `t1` and `t2` should be identical.

**Actual Results**
```
ValueError: operands could not be broadcast together with shapes (195,395,2) (187,395,2) 
```

**Versions**
Latest version from the master branch.
SurvivalTree is handling sample_weight incorrectly
<!--
Before submitting a bug, please make sure the issue hasn't been already
addressed by searching through the past issues.
-->

**Describe the bug**

Weighting samples by passing `sample_weight` to `SurvivalTree.fit()` is not considered.

This is essential for `RandomSurvivalForest` to work correctly, because bootstrap samples for each tree in the ensemble are created by passing `sample_weight` to `SurvivalTree.fit()`. For instance, `sample_weight=[1, 0, 2, 1]` would represent a bootstrap dataset where the first and last sample appear once, the second sample is not part of the sample, and the third sample appears twice.

**Code Sample to Reproduce the Bug**

<Details>

```python
from sksurv.datasets import load_whas500
from sksurv.preprocessing import OneHotEncoder
from sksurv.tree import SurvivalTree


X, y =  load_whas500()
Xt = OneHotEncoder().fit_transform(X)

n_samples = Xt.shape[0]
weights = np.ones(n_samples, dtype=int)
weights[:11] = np.arange(11, dtype=int)

y_array = np.empty((Xt.shape[0], 2), dtype=float)
y_array[:, 0] = y["lenfol"]
y_array[:, 1] = y["fstat"].astype(float)

X_repeat = np.repeat(Xt, weights, axis=0)
y_repeat = np.repeat(y_array, weights, axis=0)

# fit on the full data to create unique_times_ and is_event_time_
t0 = SurvivalTree(random_state=2).fit(Xt, y)

# fit on dataset where samples have been copiied
t1 = SurvivalTree(random_state=2)._fit(
    X_repeat, (y_repeat, t0.unique_times_, t0.is_event_time_),
    check_input=False
)

# fit on dataset where sample_weight is used
t2 = SurvivalTree(random_state=2)._fit(
    Xt.values, (y_array, t0.unique_times_, t0.is_event_time_),
    sample_weight=weights.astype(float),
    check_input=False
)

value_1 = t1.tree_.value
value_2 = t2.tree_.value

# check that both trees are identical
assert np.allclose(value_1, value_2)
```

The example fails, whereas using a DecisionTreeClassifier for illustration does result in identical trees.

```python
from sklearn.tree import DecisionTreeClassifier

t1 = DecisionTreeClassifier(random_state=2).fit(
    X_repeat, y_repeat[:, 1]
)
t2 = DecisionTreeClassifier(random_state=2).fit(
    Xt, y["fstat"], sample_weight=weights
)

value_1 = t1.tree_.value
value_2 = t2.tree_.value

print(np.allclose(value_1, value_2))
```

</Details>

**Expected Results**
The trees `t1` and `t2` should be identical.

**Actual Results**
```
ValueError: operands could not be broadcast together with shapes (195,395,2) (187,395,2) 
```

**Versions**
Latest version from the master branch.


Discussion / hints:

Fix patch:
diff --git a/doc/user_guide/evaluating-survival-models.ipynb b/doc/user_guide/evaluating-survival-models.ipynb
index c065b1f0..f550ec79 100644
--- a/doc/user_guide/evaluating-survival-models.ipynb
+++ b/doc/user_guide/evaluating-survival-models.ipynb
@@ -211,7 +211,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 518.4x345.6 with 1 Axes>"
       ]
@@ -245,7 +245,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 518.4x345.6 with 1 Axes>"
       ]
@@ -277,7 +277,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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QJE0DTgbOInluehKwW4XjMjMzqxnl9OY9JCI+D7wcERcAB7P+EH9mVmFNTU14KMyE28K6o3KS6Zvpzzck7Qy8CwyrXEhmZma1pZxBG26RNAD4HvAXkmEFr6lkUGZmZp3Rercir5nByumA9O108QZJtwB9u3BOUzMz20R5JxBrU858pr2AjwFDW+tLIiJ+UGo/MzOzelHObd6bgbeAhaTTsJmZmVmbcpLpkIjYt+KRmJmZ1ahyevP+TtKYikdi1o5fgTCzWlHOlel9wI2SNiN5LUZARMS2FY3MzMysRpSTTL9PMlDDwtjYTOJmZmZ1qJzbvI8Bi5xIzTaNb1eb9XzlXJmuAJol/Q54u7XQr8aYmZklykmmT6SfPunHzMzMCpQzAtIF1QjEzMysVnWYTCVdGhFnS7qZZDze9UTEcRWNzMzMrEaUujL9afrzkmoEYmY9n8eStWJ6wr+LDpNpRMxPF0dFxGWF2yT9CzCnkoFZHZjSv/T25a9vvN4Uz7lgZvkrpwPSOOCydmWnFymzLtAT/kKDnvM9qsZ/WJjVtFLPTE8FPgMMk3RTwaZtgRcrHZiZmVmtKHVl+meSd0wHkYyC1OpV4KFKBmVmdcxX6VaDSj0zfRJ4UtJRwJsRsVbSCGBPkunYzMzMjPKemf4ROEzSdsCdwDzgZOCzlQysFpX1nNB/dZuZ9TjljM2riHgD+CRwRUScCIzsipNLOkbSI5KWSZpcZLskXZ5uf0jSB8vd18zMrFrKSqaSDia5Er01LSvninZjB+0FTAXGkiTnUyW1T9JjgeHpZzzww07sa2bWbXkChJ5FG5sMRtLhwDnAnyLiu5LeC5wdEf+c6cRJgp4SEUen698CiIj/LqhzFdAcEden648ATcDQje1bzLBhw+L888/PEnZJCxYsAGDUqFEdV1p+T+ljPLsmOcZOvTquNHR0JyOrvq5oi7LUSVv430XBMeqpLapwjO6gltrijDPOmB8Rje3Lyxmb948kz01b1x+X9PUuiGkX4OmC9RbgwDLq7FLmvgBIGk9yVcvgwYNZuXJlpqBff3t1h9veefddAP7+3D86rLPVgL1LHn/1P5YBsHLA+zqulPE7dJVKt0VZ6qQt/O+iTV21hd4qefzV7yYTea18vqXjSn22LnmMaijVDtAz2qLUe6b3RMTodPmnEXFaweYHgA8W37NsKlLW/jK5ozrl7JsURkwHpgM0NjbG2Wef3YkQO6f1ls3/Tp1asXPUinpri6GTb+1w27M3zwRgp88c22Gd5Rd9rOTxW9vzyiuv7HxwVea2aFO1tpj6w84HV0Wl2gHKbIu+nyl5jKZbk86bV56+VceVvpm98+akSZOKlpe6Mi2MqP2fisWSWWe1ALsWrA8BnimzTp8y9jUzM6uKUsk0Olgutr4p5gLDJQ0D/g6cQjLiUqGbgImSZpHcxl0VESskvVDGvmZVU+oKoum+7wHQvJGrDDOrXaWS6QBJJ5L0+B0g6ZNpuYCNvCy5cRGxWtJE4DagF3BtRCyWNCHdPg2YDRwLLAPeAM4otW/WmMzMrJva2Pv1zU1pveZKR1JUqWQ6BziuYPkTBdv+uGH1zouI2SQJs7BsWsFyAGeWu6+ZmVkeSg0neEY1A+kJPEOKmVl9KmfQBjMzMysh80hGZlZ5vuth1r35ytTMzCyjTl2ZSpoeEeMrFYz1HL6Sql9+TcjqUWevTDcYj9DMzKzedTaZPl+RKMzMzGpYp27zRsQxlQrEzKwcfoRg3ZE7IJmZmWXkZGpmZpaRk6mZmVlGHSZTSRe3DjrfrnySpO9WNiwzM7PaUerK9OOkk2q3cxngl8TMzMxSJeczjYi1RQrXSuqKycHNzHo0D2CRKNUO0DPaotSV6RuShrcvTMverFxIZmZmtaXUlel/AL+TdCEwPy1rBL4FnF3huMzMzGpGqflMfyfpBOBfgbPS4kXApyJiYRViM+sRPMiAWc9XcgSkiFgEjKtSLGZmZjXJ85mamdUo3/XoPjxog5mZWUZOpmZmZhl1eJtX0hVAdLQ9Iv65IhGZmZnVmFLPTOdVLQozM7MaVurVmJnVDMTMzKxWbbQ3r6QdgHOBkUDf1vKIOKKCcZlZD+Tep9ZTlfNqzHXAz0kGt59A8t7pC5UMyszMrDPy/kOtnN68AyPiR8C7ETEnIr4AHFThuMzMzGpGOVem76Y/V0j6GPAMMKRyIZmZmdWWcq5ML5TUH/gGcA5wDTApy0klbS/pdkmPpT+366DeMZIekbRM0uSC8pMkLZa0VlJjlljMzMyy2mgyjYhbImJVRCyKiI9ExP4RcVPG804G7oyI4cCd6fp6JPUCpgJjSTo/nSppZLp5EfBJ4I8Z4zAzM8usnN68P6bI4A3ps9NNdTzQlC7PBJpJegwXOgBYFhGPp3HMSvd7OCKWpGUZQjAzM+sa5TwzvaVguS9wIslz0ywaImIFQESskLRjkTq7AE8XrLcAB3b2RJLGA+MBGhoacu/xZWYGsHLlSiD/XqjdQU9oi40m04i4oXBd0vXAHRvbT9IdwE5FNp1XZmzFLjs7HN6wIxExHZgO0NjYGE1NTZ09hJlZlxswYAAA/n9Sz2iLTZmCbTjwno1VioijOtom6TlJg9Or0sHA80WqtQC7FqwPIfsVsZmZWZfbaAckSa9KeqX1A9zMhs83O+sm2iYdHwf8tkiducBwScMk9QFOSfczMzPrVsq5zbtNBc57EfALSV8EngJOApC0M3BNRBwbEaslTQRuA3oB10bE4rTeicAVwA7ArZIWRMTRFYjTzKwiavn5oG2onN68d0bEkRsr64yIeBHYYP+IeAY4tmB9NjC7SL0bgRs39fxmZmZdqdR8pn2BLYFB6aAKrR2CtgV2rkJsZmZmNaHUlelXgLNJEud82pLpKySDKZiZmRml5zO9DLhM0lkRcUUVYzIzM6sp5YzNu1bSgNYVSdtJ+lrlQjIzM6st5STTL0fEytaViHgZ+HLFIjIzM6sx5STTzVQwCG46AH2fyoVkZmZWW8oZAek2kndCp5EM5zcB+H1FozIzs7rRE965LSeZnksyUPxXSXr0/gG4upJBmZmZ1ZJy5jNdGxHTIuLTEfEpYDHJ6ENmZmZGmQPdSxoFnAqcDDwB/LqCMZmZmdWUUiMgjSAZXP5U4EXg54Ai4iNVis3MzKwmlLoyXQrcDXwiIpYBSJpUlajMzMxqSKlnpp8CngXuknS1pCMpPmG3mZlZXeswmUbEjRFxMrAn0AxMAhok/VDSmCrFZ2Zm1u2V05v39Yi4LiI+DgwBFgCTKx2YmZlZrShnBKR1IuKliLgqIo6oVEBmZma1plPJ1MzMzDbkZGpmZpaRk6mZmVlGTqZmZmYZOZmamZll5GRqZmaWkZOpmZlZRk6mZmZmGTmZmpmZZeRkamZmlpGTqZmZWUZOpmZmZhnlkkwlbS/pdkmPpT+366DeMZIekbRM0uSC8u9JWirpIUk3ShpQteDNzMzayevKdDJwZ0QMB+6kyJRuknoBU4GxwEjgVEkj0823A3tHxL7Ao8C3qhK1mZlZEXkl0+OBmenyTOCEInUOAJZFxOMR8Q4wK92PiPhDRKxO691HMs+qmZlZLvJKpg0RsQIg/bljkTq7AE8XrLekZe19Afhdl0doZmZWpt6VOrCkO4Cdimw6r9xDFCmLduc4D1gNXFcijvHAeICGhgaam5vLPL2ZmVl5KpZMI+KojrZJek7S4IhYIWkw8HyRai3ArgXrQ4BnCo4xDvg4cGREBB2IiOnAdIDGxsZoamrq1PcwMzPbmLxu894EjEuXxwG/LVJnLjBc0jBJfYBT0v2QdAxwLnBcRLxRhXjNzMw6lFcyvQj4qKTHgI+m60jaWdJsgLSD0UTgNmAJ8IuIWJzufyWwDXC7pAWSplX7C5iZmbWq2G3eUiLiReDIIuXPAMcWrM8GZhep976KBmhmZtYJHgHJzMwsIydTMzOzjJxMzczMMnIyNTMzy8jJ1MzMLCMnUzMzs4ycTM3MzDJyMjUzM8vIydTMzCwjJ1MzM7OMnEzNzMwycjI1MzPLyMnUzMwsIydTMzOzjJxMzczMMnIyNTMzy8jJ1MzMLCMnUzMzs4ycTM3MzDJyMjUzM8vIydTMzCwjJ1MzM7OMnEzNzMwycjI1MzPLyMnUzMwsIydTMzOzjJxMzczMMnIyNTMzyyiXZCppe0m3S3os/bldB/WOkfSIpGWSJheUf1vSQ5IWSPqDpJ2rF72Zmdn68roynQzcGRHDgTvT9fVI6gVMBcYCI4FTJY1MN38vIvaNiFHALcB/VCVqMzOzIvJKpscDM9PlmcAJReocACyLiMcj4h1gVrofEfFKQb2tgKhcqGZmZqX1zum8DRGxAiAiVkjasUidXYCnC9ZbgANbVyT9F/B5YBXwkQrGamZmVlLFkqmkO4Cdimw6r9xDFClbdwUaEecB50n6FjAROL+DOMYD4wEaGhpobm4u8/RmZmblqVgyjYijOtom6TlJg9Or0sHA80WqtQC7FqwPAZ4pUu//gFvpIJlGxHRgOkBjY2M0NTWV9wXMzMzKlNcz05uAcenyOOC3RerMBYZLGiapD3BKuh+ShhfUOw5YWsFYzczMSsrrmelFwC8kfRF4CjgJIH3F5ZqIODYiVkuaCNwG9AKujYjFrftL2gNYCzwJTKj6NzAzM0spon46wjY2Nsa8efPyDsPMzGqUpPkR0di+3CMgmZmZZeRkamZmlpGTqZmZWUZOpmZmZhk5mZqZmWXkZGpmZpaRk6mZmVlGTqZmZmYZOZmamZll5GRqZmaWkZOpmZlZRk6mZmZmGTmZmpmZZeRkamZmllFdTcEm6QWS+U/zNAj4R84xdBduizZuizZuizZuizbdpS12i4gd2hfWVTLtDiTNKzYXXj1yW7RxW7RxW7RxW7Tp7m3h27xmZmYZOZmamZll5GRafdPzDqAbcVu0cVu0cVu0cVu06dZt4WemZmZmGfnK1MzMLCMnUzMzs4ycTM3MzDLqnXcA9UbSjhHxfN5xdCeS9oyIpXnHUW2SGoFdgdXAY3XaBn2AdyPtvCHpI8AHgYcj4ne5BldlkvaNiIfyjqM7qaXfEXdAqiBJ27cvAuYD+5G0/UvVj6r7kfRURLwn7ziqRdKHge8DK4H9gT8B2wHvAqdFxNP5RVddkh4EmiLiZUn/CpwIzAY+DMyLiG/lGmAVSVoDPAFcD1wfEQ/nHFJuavF3xMm0giStZcPhC4cALUBExHurH1U+JF3e0SZgXERsW8148iTpr8CYiHhB0jDgBxFxoqSPAv8aEWNyDrFqJC2KiL3T5XnAYRHxpqTewF8iYt98I6ye9N/FacCpwMnA6ySJdVZELM8xtKqrxd8RPzOtrG8CjwDHRcSwiBgGtKTLdZNIU2cAi0iuzAs/84B3cowrD70i4oV0+SlgN4CIuB3YJbeo8vGKpL3T5X8AfdPl3tTf/58iIhZFxHkR8T7gy8COwN2S/pxzbNVWc78jfmZaQRFxiaRZwP9Ieho4H6jXWwFzgUURscH/FCRNqX44uZon6UfAncDxQDOApC2BXjnGlYcJwHXp7d7nSdpmDrAv8J1cI6s+Fa5ExAPAA5K+ARyeT0i5qbnfEd/mrRJJnwDOA4ZGxE55x1Nt6fPjtyLijbxjyZukzUmuOkYCDwLXRsQaSf2AHSMi75mNqkpSL2AMMILkD/wW4LaIWJlnXNUm6TMR8X95x9Ed1OLviJNpFaX/EHaPiEV5x2JmVkskDYyIF/OOoyP19kwiVxHxZmsilXRG3vFUk6StJf2npMWSVkl6QdJ9kk7PO7Zqk9Qo6S5JP5O0q6Tb0zaZK2m/vOPrLiTV26sx/SVdJGmppBfTz5K0bEDe8VVT+p0HpcuNkh4H7pf0ZNrTt9vxlWlO6vB1kN8CNwJ3AP8EbAXMAv4d+HtE/FuO4VWVpAdInp8PAC4GJkXEryQdCVwYEQfnGV81SfpgR5uAWyJicDXjyZOk24D/B8yMiGfTsp2AccBREfHRPOOrJkkLI2KfdPku4JsRMVfSCOD/uuO8pk6mFSSpoxewBYyIiC2qGU+eJD0YER8oWJ8bER+StBnJC/p75hheVUn6a0Tsly6v90dV4bZ6kL5bOYd2nW9SB0VEvyqHlBtJj0TEHp3d1hNJWgrsHRGrJd0XEQcVbFuXaLsT9+atrAbgaODlduUC6q2r++uSRkfEPWlnrJcAImKtpGL/I+3J3pI0BugPhKQTIuI36e2rNTnHVm1LgK9ExGPtN6Q94OvJk5K+SXJl+hyApAbgdKDe2mIqMFvSRcDvJV0K/Bo4EliQY1wdcjKtrFuArSNiQfsNkpqrHk2+JgDXpLdpFgFfBJC0A8kvTj2ZQHJ7dy3JH1tflTQD+DswPse48jCFjvtunFXFOLqDk4HJwBxJO6ZlzwE3kTwaqRsRcYWkhcBXaevlPQL4DXBhjqF1yLd5zczMMnJv3gpLh0VrXd467ZnWfszeHk/SgZK2TZf7SbpA0s2Sviupf97xVZukPSUdKWnrduXH5BVTXtwWbQraYqt25XXXFh3prm9COJlWUPrax3OSHpU0FngI+C7woKRTcw2u+q4FWgdsuIzkeeF307If5xVUHiT9M/BbktuYiyQdX7C5rkb9cVu0adcWi+u5LTbigrwDKMbPTCvrG8AewDYko3jsFxF/SzsV3E4yiHW92CwiVqfLjRHR+krEPZIW5BRTXr4M7B8Rr0kaCvxK0tCIuIzivVp7MrdFG7dFaiNvQjRUM5ZyOZlW1pqI+AfwD0mvRcTfACLiufrrwMoiSWdExI9JrswbI2Je2iHp3byDq7JeEfEaQEQsl9RE8j/O3aiz/2nitijktmhTc29C+DZvZT0l6b8lXQkslfR9SYdKOh9YkXdwVfYl4MOS/kYy3ua96agmV6fb6smzkka1rqT/A/04MAjodu/PVZjboo3bok3rmxBPtvssJx30vrtxb94KSjvcnEkyU8yVJH9pnUEyx+mFEVFvCRVJ2wDvJR3QvPV9unoiaQiwunWUm3bbDo2IP+UQVi7cFm3cFrXNydTMzCwj3+bNiaR6ezm/Q5JuyTuG7sJt0cZt0cZt0aa7toWvTHMi6SsRcVXecXQHkgbX4y3vYtwWbdwWbdwWbbprWziZVpik3YETgV2B1cBjwPURsSrXwLoBSTtGxPN5x2FmlpVv81ZQ+hL2NKAv8CGgH0lSvTft9l43JG3f7jMQeEDSdvU2IpQ8t+s6bos2bos2tdgWvjKtICUDNY+KiDWStgRmR0STpPcAv62zqbbWkvRiLjQEaAEiIt5b/ajyIc/tuo7boo3bok0ttoWTaQWlybQxIt6WtB1wR0Tsn25bFBF75xth9Ug6BzgK+NeIWJiWPRERw/KNrPrkuV3XcVu0cVu0qcW28G3eyroGmCtpOnAvybumrdOOvZRnYNUWEZeQDM7wH5J+kL5vWq9/yb0uaTSA2s3tSv2NdOO2aOO2aFNzbeHhBCsoIi6TdAewF/CDiFialr8AHJ5rcDmIiBbgpPSX43Zgy5xDystXgavVNrfrF6Bu53ZtbYs9gIXU9zy3/nfRpv38x92+LXyb16pG0p7ALsD9wBpg94hYJOmYiPh9vtFVl6QDgbURMVfSSOAYYGlEzM45tNxJ+klEfD7vOPKWXpkdACyKiD/kHU81pb8fSyNiVdrf5Fzgg8DDwHe649sQTqZWFWnP5jOBJcAo4F8i4rfptr8UzCLT4ykZm3ksyZ2h24EDScYbPQq4LSL+K7/oqkvSTUWKjwD+H0BEHFfdiPIj6YGIOCBd/hIwkaQTzhjg5oi4KM/4qknSYuADEbE6fUz2BvAr4Mi0/JO5BliEk6lVRdoZ6+DC6aWAn6a3wv9aZz2bF5L8QbEF8CwwJCJekdQPuD8i9s0zvmqS9FdgMUn/giB5HnY9cApARMzJL7rqKvw9kDQXODYiXlAyUfh9EVE3g91LWhIRe6XL6/2xLWlBRIzKLbgOuAOSVct600sBTcBYST+gm3YoqKDVEbEmIt4A/hYRrwBExJvA2nxDq7r9gfnAecCqiGgG3oyIOfWUSFObpe9dDyS50HkBICJeJxnwpZ4sknRGuvygpEYAdeMpG51MrVo8vVSbd9LnQJAkEwAk9afOkmlErI2I/yGZTek8JdMV1mvHyP4kf1jMA7aXtBMkAxhQf39w1tyUjb7Na1UhTy+1jqQtIuLtIuWDgMGt7+HWI0kfAw7tji/l5yX9w6shIp7IO5ZqUw1N2ehkamZmlpFv85qZmWXkZGpmZpaRk6lZHZPUJOmQvOOoBknHSZqcdxzWM/mZqVmNkdQ7IrrkVQlJU4DX0rGTe6yubDOzYnxlanVJ0lBJSyVdI2mRpOskHSXpT5Iek9Q6Es1Wkq6VNFfSXyUdX7D/3ZL+kn4OScubJDVL+lV6/OskbfBaQ1rnUkl/Ts+/sfOdLumXkm4G/qBkvscfS1oo6SFJn0rrjZF0bxrTL9PXKpC0XNIFaflCSXumg2dMACZJWiDpMEmfkHR/eu47JDWk++8g6fZ0/6skPZn2PkbS5yQ9kB7jKkm9inzfD6Xf9cG07jaSekn6XvpdH5L0lY21oaSLJD2c1r8kLdtN0p1p2Z1KpjhE0gwlkyrcBXw3bcMrC7Zdnsb0uKRPp+WbSfpfJfNo3iJpdus2s5Iiwh9/6u4DDCV5EX4fkj8q5wPXkrzPdzzwm7Ted4DPpcsDgEdJ5lbcEuiblg8H5qXLTcAqkrlaNyOZLWh0kfM3A1eny4eTjL9a6nynk8z9un267bvApQXH247knd0/AlulZecC/5EuLwfOSpe/BlyTLk8Bzml3nNY7Vl8Cvp8uXwl8K10+hmS0okEkkzjcDGyebvtf4PPtvmsf4HHgQ+n6tiSvOowH/j0t24Lk/cphHbUhsD3wSEF8A9KfNwPj0uUvFPy3mwHcQjJgCGkbXlmw7Zfp8UcCy9LyTwOz0/KdgJeBT+f979Wf7v+p15ejzQCeiLa5VRcDd0ZEKBnub2haZwxwnJL5WAH6Au8BngGuVDIQxRpgRMFxH4hkhhwkLUiPdU+R818PEBF/lLStpAElzgdwe0S0Tt13FOmQe+kxXpb0cZLE8Kf0Qq4PSSJq9ev053ygo7FNhwA/lzQ43b/13cbRwInpuX4v6eW0/EiSgSfmpufsBzzf7ph7ACsiYm66/yuQXEUD+xZc+fUn+cPkHYq34X3AWySzidxKkigBDi74Pj8FLi449y8jYk0H3/U3kUzp9XDrFXj6PX+Zlj+bXtWabZSTqdWzwoET1hasr6Xtd0PApyLikcIdlTxrfA74AMlVzFsdHHcNHf+ete+w0Do2bbHzHQi8XlhUZH+RJNxTOzhfa1ylYrqCZLrAmyQ1kVy5th67GAEzI+JbHWzvKNbW8rMi4rb1CpPzbtCGkQx6fgBJAj+FZCD4I4oct/BcrxfZ3qrwHGr306xT/MzUrLTbgLMKntm1Dsjfn+Rqay1wGrDBc8IynJweczTJuLSrSpyvvT+QJBPSetuRXLkdKul9admWSsYyLeVVYJuC9f7A39PlcQXl9wD/lB53DMntYIA7gU9L2jHdtr2k3dqdYymws6QPpXW2kdQ7/a5flbR5Wj5CyaDuRaXPf/tHMk3d2SSTBQD8mbar9M9S/C5Aue4BPpU+O20gueVstlFOpmalfRvYHHhI0qJ0HZJng+Mk3Udyi7fUFVBHXpb0Z2Aa6aTYJc7X3oXAdko6Lz0IfCSSgdFPB66X9BBJct1zIzHcDJzY2gGJ5Er0l5LuBv5RUO8CYIykv5BMH7cCeDUiHgb+naRT1EMkU8oNLjxBRLxD8ofDFWmst5Pcvr6GZH7Kv6Tf9SpK3y3bBrglPc8cYFJa/s/AGWn5acC/bOQ7l3IDybPp1njuJ3l+a1aSX40xy4GkZpKOP/PyjqUckrYA1qS3Wg8GfhjdcBqsriBp60imChwIPEAyVvAGY0qbFfIzUzMrx3uAX0jajKSD0JdzjqeSbkk7g/UBvu1EauXwlamZmVlGfmZqZmaWkZOpmZlZRk6mZmZmGTmZmpmZZeRkamZmlpGTqZmZWUb/H+ZNLEqIpHcfAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 518.4x345.6 with 1 Axes>"
       ]
@@ -422,7 +422,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 518.4x345.6 with 1 Axes>"
       ]
@@ -524,7 +524,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 518.4x345.6 with 1 Axes>"
       ]
@@ -616,14 +616,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 518.4x345.6 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -741,7 +739,7 @@
     {
      "data": {
       "text/plain": [
-       "RSF       0.688\n",
+       "RSF       0.692\n",
        "CPH       0.688\n",
        "Random    0.500\n",
        "Name: c-index, dtype: float64"
@@ -770,8 +768,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The result indicates that both models perform equally well,\n",
-    "achieving a concordance index of 0.688, which is significantly\n",
+    "The result indicates that both models perform almost equally well\n",
+    "with Cox's proportional hazards model achieving a concordance index of 0.688\n",
+    "and Random Survival Forest of 0.692, both of which are significantly\n",
     "better than a random model with 0.5 concordance index.\n",
     "Unfortunately, it doesn't help us to decide which model we should\n",
     "choose. So let's consider the time-dependent Brier score\n",
@@ -894,8 +893,8 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>RSF</th>\n",
-       "      <td>0.688</td>\n",
-       "      <td>0.194</td>\n",
+       "      <td>0.692</td>\n",
+       "      <td>0.192</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CPH</th>\n",
@@ -918,7 +917,7 @@
       ],
       "text/plain": [
        "              c-index    IBS\n",
-       "RSF             0.688  0.194\n",
+       "RSF             0.692  0.192\n",
        "CPH             0.688  0.189\n",
        "Random          0.500  0.247\n",
        "Kaplan-Meier      NaN  0.217"
@@ -1099,14 +1098,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 432x432 with 3 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1138,7 +1135,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "When optimizing for the concordance index, a high maximum depth works best, whereas the other metrics are best when choosing a maximum depth of 5 and 6, respectively."
+    "When optimizing for the concordance index, a high maximum depth works best, whereas the other metrics are best when choosing a maximum depth of 5 and 8, respectively."
    ]
   },
   {
@@ -1153,7 +1150,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1167,7 +1164,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,
diff --git a/doc/user_guide/random-survival-forest.ipynb b/doc/user_guide/random-survival-forest.ipynb
index 055599f0..05174e01 100644
--- a/doc/user_guide/random-survival-forest.ipynb
+++ b/doc/user_guide/random-survival-forest.ipynb
@@ -144,7 +144,7 @@
     {
      "data": {
       "text/plain": [
-       "0.6759696016771488"
+       "0.6745283018867925"
       ]
      },
      "execution_count": 5,
@@ -327,12 +327,12 @@
     {
      "data": {
       "text/plain": [
-       "0     91.477609\n",
-       "1    102.897552\n",
-       "2     75.883786\n",
-       "3    170.502092\n",
-       "4    171.210066\n",
-       "5    148.691835\n",
+       "0     92.485064\n",
+       "1    101.425923\n",
+       "2     73.756955\n",
+       "3    173.702023\n",
+       "4    172.987572\n",
+       "5    154.022612\n",
        "dtype: float64"
       ]
      },
@@ -359,14 +359,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -395,14 +393,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -487,43 +483,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>pnodes</th>\n",
-       "      <td>0.076616</td>\n",
-       "      <td>0.019106</td>\n",
+       "      <td>0.077655</td>\n",
+       "      <td>0.019356</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>age</th>\n",
-       "      <td>0.016562</td>\n",
-       "      <td>0.008774</td>\n",
+       "      <td>0.015749</td>\n",
+       "      <td>0.008232</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>progrec</th>\n",
-       "      <td>0.011513</td>\n",
-       "      <td>0.013504</td>\n",
+       "      <td>0.009565</td>\n",
+       "      <td>0.013541</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>horTh=yes</th>\n",
-       "      <td>0.008220</td>\n",
-       "      <td>0.004313</td>\n",
+       "      <td>0.006289</td>\n",
+       "      <td>0.004057</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>tgrade</th>\n",
-       "      <td>0.004831</td>\n",
-       "      <td>0.003773</td>\n",
+       "      <td>0.003346</td>\n",
+       "      <td>0.003764</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>tsize</th>\n",
-       "      <td>0.002542</td>\n",
-       "      <td>0.008665</td>\n",
+       "      <th>menostat=Post</th>\n",
+       "      <td>0.000070</td>\n",
+       "      <td>0.001023</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>menostat=Post</th>\n",
-       "      <td>-0.000087</td>\n",
-       "      <td>0.000978</td>\n",
+       "      <th>tsize</th>\n",
+       "      <td>-0.000070</td>\n",
+       "      <td>0.009698</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>estrec</th>\n",
-       "      <td>-0.007206</td>\n",
-       "      <td>0.009461</td>\n",
+       "      <td>-0.008220</td>\n",
+       "      <td>0.009413</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -531,14 +527,14 @@
       ],
       "text/plain": [
        "               importances_mean  importances_std\n",
-       "pnodes                 0.076616         0.019106\n",
-       "age                    0.016562         0.008774\n",
-       "progrec                0.011513         0.013504\n",
-       "horTh=yes              0.008220         0.004313\n",
-       "tgrade                 0.004831         0.003773\n",
-       "tsize                  0.002542         0.008665\n",
-       "menostat=Post         -0.000087         0.000978\n",
-       "estrec                -0.007206         0.009461"
+       "pnodes                 0.077655         0.019356\n",
+       "age                    0.015749         0.008232\n",
+       "progrec                0.009565         0.013541\n",
+       "horTh=yes              0.006289         0.004057\n",
+       "tgrade                 0.003346         0.003764\n",
+       "menostat=Post          0.000070         0.001023\n",
+       "tsize                 -0.000070         0.009698\n",
+       "estrec                -0.008220         0.009413"
       ]
      },
      "execution_count": 11,
@@ -565,7 +561,7 @@
    "source": [
     "The result shows that the number of positive lymph nodes (`pnodes`) is by far the most important\n",
     "feature. If its relationship to survival time is removed (by random shuffling),\n",
-    "the concordance index on the test data drops on average by 0.076616 points.\n",
+    "the concordance index on the test data drops on average by 0.077655 points.\n",
     "Again, this agrees with the results from the original\n",
     "[Random Survival Forests paper](https://projecteuclid.org/euclid.aoas/1223908043)."
    ]
@@ -587,7 +583,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,
diff --git a/sksurv/tree/_criterion.pyx b/sksurv/tree/_criterion.pyx
index 9025cec5..e636bc9d 100644
--- a/sksurv/tree/_criterion.pyx
+++ b/sksurv/tree/_criterion.pyx
@@ -42,16 +42,17 @@ cpdef get_unique_times(cnp.ndarray[float64_t, ndim=1] time, cnp.ndarray[cnp.npy_
 cdef class RisksetCounter:
     cdef:
         const float64_t[:] unique_times
-        cnp.npy_int64 * n_events
-        cnp.npy_int64 * n_at_risk
+        float64_t * n_events
+        float64_t * n_at_risk
         const float64_t[:, ::1] data
+        const float64_t[:] sample_weight
         intp_t nbytes
 
     def __cinit__(self, const float64_t[:] unique_times):
         cdef intp_t n_unique_times = unique_times.shape[0]
-        self.nbytes = n_unique_times * sizeof(cnp.npy_int64)
-        self.n_events = <cnp.npy_int64 *> malloc(self.nbytes)
-        self.n_at_risk = <cnp.npy_int64 *> malloc(self.nbytes)
+        self.nbytes = n_unique_times * sizeof(float64_t)
+        self.n_events = <float64_t *> malloc(self.nbytes)
+        self.n_at_risk = <float64_t *> malloc(self.nbytes)
         self.unique_times = unique_times
 
     def __dealloc__(self):
@@ -63,8 +64,9 @@ cdef class RisksetCounter:
         memset(self.n_events, 0, self.nbytes)
         memset(self.n_at_risk, 0, self.nbytes)
 
-    cdef void set_data(self, const float64_t[:, ::1] data) noexcept nogil:
+    cdef void set_data(self, const float64_t[:, ::1] data, const float64_t[:] sample_weight) noexcept nogil:
         self.data = data
+        self.sample_weight = sample_weight
 
     cdef void update(self, const intp_t[:] samples, intp_t start, intp_t end) noexcept nogil:
         cdef:
@@ -73,6 +75,7 @@ cdef class RisksetCounter:
             intp_t ti
             float64_t time
             float64_t event
+            float64_t w = 1.0
             const float64_t[:] unique_times = self.unique_times
             intp_t n_times = unique_times.shape[0]
             const float64_t[:, ::1] y = self.data
@@ -83,22 +86,25 @@ cdef class RisksetCounter:
             idx = samples[i]
             time, event = y[idx, 0], y[idx, 1]
 
+            if self.sample_weight is not None:
+                w = self.sample_weight[idx]
+
             # i-th sample is in all risk sets with time <= i-th time
             ti = 0
             while ti < n_times and unique_times[ti] < time:
-                self.n_at_risk[ti] += 1
+                self.n_at_risk[ti] += w
                 ti += 1
 
             if ti < n_times:  # unique_times[ti] == time
-                self.n_at_risk[ti] += 1
+                self.n_at_risk[ti] += w
                 if event != 0.0:
-                    self.n_events[ti] += 1
+                    self.n_events[ti] += w
 
     cdef inline void at(self, intp_t index, float64_t * at_risk, float64_t * events) noexcept nogil:
         if at_risk != NULL:
-            at_risk[0] = <float64_t> self.n_at_risk[index]
+            at_risk[0] = self.n_at_risk[index]
         if events != NULL:
-            events[0] = <float64_t> self.n_events[index]
+            events[0] = self.n_events[index]
 
 
 cdef int argbinsearch(const float64_t[:] arr, float64_t key_val, intp_t * ret) except -1 nogil:
@@ -135,10 +141,9 @@ cdef class LogrankCriterion(Criterion):
         intp_t n_unique_times
         intp_t nbytes
         RisksetCounter riskset_total
-        cnp.npy_int64 * delta_n_at_risk_left
-        cnp.npy_int64 * n_events_left
+        float64_t * weighted_n_events_left
+        float64_t * weighted_delta_n_at_risk_left
         intp_t * samples_time_idx
-        intp_t n_samples_left
 
     def __cinit__(self, intp_t n_outputs, intp_t n_samples, const float64_t[::1] unique_times, const cnp.npy_bool[::1] is_event_time):
         # Default values
@@ -151,21 +156,21 @@ cdef class LogrankCriterion(Criterion):
         self.unique_times = unique_times
         self.is_event_time = is_event_time
         self.n_unique_times = unique_times.shape[0]
-        self.nbytes = self.n_unique_times * sizeof(cnp.npy_int64)
+        self.nbytes = self.n_unique_times * sizeof(float64_t)
         self.n_node_samples = 0
         self.weighted_n_node_samples = 0.0
         self.weighted_n_left = 0.0
         self.weighted_n_right = 0.0
 
         self.riskset_total = RisksetCounter(unique_times)
-        self.delta_n_at_risk_left = <cnp.npy_int64 *> malloc(self.nbytes)
-        self.n_events_left = <cnp.npy_int64 *> malloc(self.nbytes)
+        self.weighted_delta_n_at_risk_left = <float64_t *> malloc(self.nbytes)
+        self.weighted_n_events_left = <float64_t *> malloc(self.nbytes)
         self.samples_time_idx = <intp_t *> malloc(n_samples * sizeof(intp_t))
 
     def __dealloc__(self):
         """Destructor."""
-        free(self.delta_n_at_risk_left)
-        free(self.n_events_left)
+        free(self.weighted_delta_n_at_risk_left)
+        free(self.weighted_n_events_left)
         free(self.samples_time_idx)
 
     def __reduce__(self):
@@ -199,7 +204,7 @@ cdef class LogrankCriterion(Criterion):
             float64_t w = 1.0
             const float64_t[::1] unique_times = self.unique_times
 
-        self.riskset_total.set_data(y)
+        self.riskset_total.set_data(y, sample_weight)
         self.riskset_total.update(sample_indices, start, end)
 
         for i in range(start, end):
@@ -244,9 +249,8 @@ cdef class LogrankCriterion(Criterion):
             intp_t time_idx
             float64_t w = 1.0
 
-        self.n_samples_left = new_pos - pos
-        memset(self.delta_n_at_risk_left, 0, self.nbytes)
-        memset(self.n_events_left, 0, self.nbytes)
+        memset(self.weighted_delta_n_at_risk_left, 0, self.nbytes)
+        memset(self.weighted_n_events_left, 0, self.nbytes)
 
         # Update statistics up to new_pos
         self.weighted_n_left = 0.0
@@ -255,13 +259,13 @@ cdef class LogrankCriterion(Criterion):
             event = y[idx, 1]
             time_idx = self.samples_time_idx[idx]
 
-            self.delta_n_at_risk_left[time_idx] += 1
-            if event != 0.0:
-                self.n_events_left[time_idx] += 1
-
             if sample_weight is not None:
                 w = sample_weight[idx]
 
+            self.weighted_delta_n_at_risk_left[time_idx] += w
+            if event != 0.0:
+                self.weighted_n_events_left[time_idx] += w
+
             self.weighted_n_left += w
 
         self.weighted_n_right = (self.weighted_n_node_samples -
@@ -283,7 +287,7 @@ cdef class LogrankCriterion(Criterion):
 
         cdef:
             intp_t i
-            float64_t at_risk = <float64_t> self.n_samples_left
+            float64_t weighted_at_risk = self.weighted_n_left
             float64_t events
             float64_t total_at_risk
             float64_t total_events
@@ -293,19 +297,19 @@ cdef class LogrankCriterion(Criterion):
             float64_t numer = 0.0
 
         for i in range(self.n_unique_times):
-            events = <float64_t> self.n_events_left[i]
+            events = self.weighted_n_events_left[i]
             self.riskset_total.at(i, &total_at_risk, &total_events)
 
             if total_at_risk == 0:
                 break  # we reached the end
-            ratio = at_risk / total_at_risk
+            ratio = weighted_at_risk / total_at_risk
             numer += events - total_events * ratio
             if total_at_risk > 1.0:
                 v = (total_at_risk - total_events) / (total_at_risk - 1.0) * total_events
                 denom += ratio * (1.0 - ratio) * v
 
             # Update number of samples at risk for next bigger timepoint
-            at_risk -= <float64_t> self.delta_n_at_risk_left[i]
+            weighted_at_risk -= self.weighted_delta_n_at_risk_left[i]
 
         if denom != 0.0:
             # absolute value is the measure of node separation


Test patch:
diff --git a/tests/test_forest.py b/tests/test_forest.py
index 18c983d3..9bd43a0b 100644
--- a/tests/test_forest.py
+++ b/tests/test_forest.py
@@ -21,8 +21,8 @@
 @pytest.mark.parametrize(
     "forest_cls, expected_c",
     [
-        (RandomSurvivalForest, (0.9026201280123488, 67831, 7318, 0, 14)),
-        (ExtraSurvivalTrees, (0.8389200122423452, 63044, 12105, 0, 14)),
+        (RandomSurvivalForest, (0.9009168452008676, 67703, 7446, 0, 14)),
+        (ExtraSurvivalTrees, (0.8400644053813091, 63130, 12019, 0, 14)),
     ],
 )
 def test_fit_predict(make_whas500, forest_cls, expected_c):
@@ -59,7 +59,7 @@ def test_fit_missing_values(make_whas500):
     assert tags["allow_nan"]
 
     cindex = forest.score(X_test, y_test)
-    assert cindex == pytest.approx(0.7408487204405572)
+    assert cindex == pytest.approx(0.7444120505344995)
 
 
 def test_fit_missing_values_not_supported(make_whas500):
@@ -143,7 +143,7 @@ def test_fit_predict_surv(make_whas500, forest_cls):
 
 
 @pytest.mark.parametrize(
-    "forest_cls, expected_oob_score", [(RandomSurvivalForest, 0.753010685), (ExtraSurvivalTrees, 0.752092510)]
+    "forest_cls, expected_oob_score", [(RandomSurvivalForest, 0.758732651), (ExtraSurvivalTrees, 0.751427165)]
 )
 def test_oob_score(make_whas500, forest_cls, expected_oob_score):
     whas500 = make_whas500(to_numeric=True)