Olejniczac 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.7134  0.0048  0.0648  0.0610  0.4238  0.16
Ashkenazy 1981   21  0.7838  0.0020  0.1419  0.4716  0.4919  0.48
Beliavsky 2004   40  0.7024  0.0036  0.0737  0.0718  0.3043  0.14
BenOr 1989   5  0.838  0.005  0.184  0.742  0.725  0.73
Biret 1990   4  0.859  0.004  0.267  0.696  0.678  0.68
Blet 2003   23  0.7748  0.0012  0.1229  0.286  0.6723  0.43
Block 1995   26  0.7731  0.0023  0.1326  0.314  0.5827  0.42
Brailowsky 1960   49  0.6839  0.0051  0.0463  0.0427  0.2254  0.09
Chiu 1999   14  0.7915  0.0016  0.1416  0.524  0.6017  0.56
Clidat 1994   39  0.7021  0.0049  0.0738  0.0724  0.2546  0.13
Cohen 1997   43  0.7057  0.0053  0.0460  0.0429  0.1457  0.07
Coop 1987   28  0.7617  0.0024  0.0923  0.3616  0.5026  0.42
Cortot 1951   31  0.7558  0.0035  0.0936  0.0913  0.4835  0.21
Czerny 1949   32  0.7549  0.0029  0.0830  0.2611  0.5828  0.39
Czerny 1949b   48  0.6850  0.0034  0.1133  0.1118  0.4333  0.22
Ezaki 2006   16  0.7929  0.0022  0.1421  0.4017  0.4922  0.44
Falvay 1989   18  0.7959  0.0032  0.1132  0.2010  0.5432  0.33
Ferenczy 1958   60  0.6026  0.0061  0.0645  0.0653  0.0462  0.05
Fiorentino 1962   1  0.981  0.991  0.981  0.991  1.001  0.99
Fliere 1977   6  0.8210  0.0010  0.165  0.723  0.794  0.75
Fou 1978   27  0.7651  0.0026  0.0922  0.3812  0.4725  0.42
Francois 1956   63  0.4611  0.0063  0.0647  0.0634  0.0958  0.07
Hatto 1997   47  0.6813  0.0054  0.0554  0.0543  0.0661  0.05
Horowitz 1971   52  0.652  0.0039  0.0740  0.0714  0.3441  0.15
Horowitz 1985   61  0.5725  0.0057  0.0459  0.0425  0.2153  0.09
Indjic 2001   35  0.7332  0.0042  0.0644  0.0628  0.1752  0.10
Kapell 1951   15  0.7912  0.0017  0.1720  0.4411  0.4721  0.45
Kiepura 1999   46  0.695  0.0050  0.0457  0.0413  0.4742  0.14
Kilenyi 1937   19  0.783  0.0013  0.139  0.632  0.729  0.67
Kissin 1993   11  0.817  0.006  0.196  0.714  0.706  0.70
Kitain 1937   62  0.5152  0.0062  0.0552  0.0551  0.0564  0.05
Kushner 1990   55  0.6360  0.0056  0.0549  0.0529  0.2051  0.10
Levy 1951   30  0.7540  0.0028  0.0927  0.3122  0.4430  0.37
Luisada 1990   22  0.7833  0.0025  0.1124  0.3515  0.5224  0.43
Lushtak 2004   44  0.6961  0.0052  0.0462  0.0417  0.3650  0.12
Lympany 1968   42  0.704  0.0043  0.0550  0.058  0.5337  0.16
Magaloff 1977   20  0.7827  0.0018  0.1515  0.536  0.6214  0.57
Magaloff 1977b   24  0.7741  0.0021  0.1218  0.497  0.6018  0.54
Magin 1975   10  0.8242  0.0014  0.1214  0.555  0.6411  0.59
Milkina 1970   36  0.7243  0.0044  0.0643  0.0629  0.1455  0.09
Mohovich 1999   25  0.7714  0.0019  0.1217  0.503  0.6813  0.58
Nadelmann 1956   17  0.7953  0.0027  0.0825  0.335  0.6320  0.46
Ohlsson 1999   45  0.6962  0.0037  0.1034  0.1012  0.4434  0.21
Olejniczac 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Olejniczak 1991   3  0.8628  0.003  0.603  0.761  0.772  0.76
Osinska 1989   12  0.8144  0.0015  0.1613  0.5711  0.5515  0.56
Paderewski 1912   51  0.6664  0.0047  0.0553  0.0526  0.2849  0.12
Perahia 1994   56  0.636  0.0038  0.0739  0.079  0.3936  0.17
Perlemuter 1986   57  0.6365  0.0060  0.0456  0.0429  0.1956  0.09
Poblocka 1999   7  0.8218  0.007  0.1711  0.5913  0.5416  0.56
Rangell 2001   9  0.8254  0.009  0.168  0.662  0.717  0.68
Risler 1920   58  0.6222  0.0046  0.0555  0.0515  0.4440  0.15
Rosen 1989   54  0.6430  0.0059  0.0461  0.0433  0.0763  0.05
Rubinstein 1939   59  0.6119  0.0058  0.0458  0.0436  0.0760  0.05
Rubinstein 1952   41  0.7023  0.0040  0.0551  0.0516  0.3647  0.13
Rubinstein 1966   50  0.6735  0.0055  0.0641  0.0634  0.0759  0.06
Rummel 1943   53  0.6416  0.0041  0.0642  0.0612  0.4539  0.16
Shebanova 2002   38  0.7045  0.0045  0.0646  0.0615  0.3544  0.14
Smith 1975   34  0.7455  0.0033  0.0935  0.0928  0.1945  0.13
Szpilman 1948   33  0.7536  0.0031  0.0831  0.2312  0.5431  0.35
Uninsky 1971   13  0.7946  0.0011  0.1212  0.583  0.6710  0.62
Wasowski 1980   29  0.7663  0.0030  0.1128  0.2917  0.4629  0.37
Weissenberg 1971   8  0.8237  0.008  0.1310  0.629  0.5612  0.59
Average   2  0.8920  0.002  0.712  0.865  0.673  0.76
Random 1    64  0.0366  0.0064  0.0364  0.039  0.5148  0.12
Random 2   65  0.0356  0.0065  0.0265  0.0247  0.0465  0.03
Random 3   66  -0.0147  0.0066  0.0166  0.0142  0.0566  0.02
Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).