Szpilman 1948

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.5932  0.0056  0.0552  0.0556  0.0360  0.04
Ashkenazy 1981   21  0.7165  0.0023  0.1123  0.3538  0.0927  0.18
Beliavsky 2004   40  0.6545  0.0039  0.0735  0.0736  0.0744  0.07
BenOr 1989   20  0.7160  0.0021  0.1420  0.4337  0.0826  0.19
Biret 1990   3  0.793  0.153  0.424  0.6519  0.446  0.53
Blet 2003   41  0.6539  0.0048  0.0737  0.0736  0.0645  0.06
Block 1995   16  0.7354  0.0022  0.1119  0.4316  0.4014  0.41
Brailowsky 1960   43  0.6414  0.0144  0.0554  0.0530  0.1739  0.09
Chiu 1999   33  0.6729  0.0036  0.0640  0.0635  0.0943  0.07
Clidat 1994   29  0.6820  0.0033  0.0834  0.0821  0.3029  0.15
Cohen 1997   56  0.5733  0.0055  0.0363  0.0344  0.0562  0.04
Coop 1987   13  0.7446  0.0015  0.1416  0.5027  0.3813  0.44
Cortot 1951   15  0.736  0.0217  0.1615  0.5311  0.527  0.52
Czerny 1949   14  0.738  0.0110  0.147  0.5810  0.593  0.58
Czerny 1949b   31  0.6710  0.0126  0.1128  0.2426  0.2820  0.26
Ezaki 2006   24  0.7043  0.0024  0.1024  0.3139  0.0828  0.16
Falvay 1989   38  0.6561  0.0047  0.0550  0.0549  0.0549  0.05
Ferenczy 1958   48  0.627  0.028  0.1221  0.427  0.559  0.48
Fiorentino 1962   11  0.7431  0.0016  0.1414  0.5327  0.3015  0.40
Fliere 1977   23  0.7051  0.0027  0.0926  0.2530  0.2025  0.22
Fou 1978   22  0.7017  0.0020  0.1118  0.4531  0.1819  0.28
Francois 1956   63  0.3434  0.0063  0.0548  0.0560  0.0464  0.04
Hatto 1997   46  0.6366  0.0053  0.0551  0.0551  0.0652  0.05
Horowitz 1971   50  0.6122  0.0043  0.0456  0.0449  0.0563  0.04
Horowitz 1985   54  0.5825  0.0041  0.0555  0.0514  0.3432  0.13
Indjic 2001   34  0.6627  0.0045  0.0459  0.0437  0.0755  0.05
Kapell 1951   7  0.7515  0.006  0.1511  0.5426  0.2816  0.39
Kiepura 1999   57  0.5642  0.0060  0.0643  0.0660  0.0448  0.05
Kilenyi 1937   8  0.7513  0.0111  0.146  0.5819  0.524  0.55
Kissin 1993   1  0.832  0.252  0.501  0.795  0.661  0.72
Kitain 1937   59  0.549  0.0157  0.0461  0.0418  0.3834  0.12
Kushner 1990   58  0.5524  0.0059  0.0457  0.0457  0.0457  0.04
Levy 1951   5  0.7512  0.015  0.205  0.5913  0.505  0.54
Luisada 1990   36  0.6656  0.0034  0.0641  0.0641  0.0746  0.06
Lushtak 2004   53  0.5949  0.0058  0.0460  0.0460  0.0461  0.04
Lympany 1968   39  0.6535  0.0046  0.0739  0.0721  0.2331  0.13
Magaloff 1977   25  0.7064  0.0029  0.1027  0.2436  0.0830  0.14
Magaloff 1977b   27  0.6936  0.0031  0.0830  0.1846  0.0638  0.10
Magin 1975   37  0.6650  0.0035  0.0644  0.0633  0.1141  0.08
Milkina 1970   42  0.6448  0.0040  0.0645  0.0651  0.0550  0.05
Mohovich 1999   32  0.6740  0.0037  0.0833  0.0857  0.0547  0.06
Nadelmann 1956   55  0.5758  0.0051  0.0642  0.0649  0.0451  0.05
Ohlsson 1999   30  0.6811  0.0130  0.0731  0.1713  0.4121  0.26
Olejniczac 1990   9  0.7553  0.0014  0.1512  0.5431  0.2318  0.35
Olejniczak 1991   18  0.7228  0.0018  0.1917  0.5026  0.3812  0.44
Osinska 1989   28  0.6837  0.0032  0.0832  0.1540  0.0736  0.10
Paderewski 1912   17  0.724  0.077  0.1410  0.555  0.632  0.59
Perahia 1994   62  0.4959  0.0054  0.0462  0.0461  0.0365  0.03
Perlemuter 1986   60  0.5247  0.0061  0.0553  0.0557  0.0458  0.04
Poblocka 1999   4  0.785  0.034  0.213  0.6627  0.3310  0.47
Rangell 2001   12  0.7430  0.0012  0.148  0.5724  0.448  0.50
Risler 1920   51  0.6163  0.0052  0.0647  0.0629  0.1935  0.11
Rosen 1989   61  0.5055  0.0062  0.0646  0.0644  0.0554  0.05
Rubinstein 1939   47  0.6219  0.0042  0.0458  0.0423  0.2437  0.10
Rubinstein 1952   35  0.6641  0.0038  0.0736  0.0731  0.1240  0.09
Rubinstein 1966   49  0.6138  0.0049  0.0549  0.0552  0.0459  0.04
Rummel 1943   45  0.6316  0.0025  0.0829  0.2118  0.3223  0.26
Shebanova 2002   44  0.6423  0.0050  0.0738  0.0732  0.1042  0.08
Smith 1975   10  0.7421  0.009  0.139  0.5617  0.3911  0.47
Szpilman 1948   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   26  0.6918  0.0028  0.0925  0.2533  0.0733  0.13
Wasowski 1980   19  0.7257  0.0019  0.1022  0.3930  0.1524  0.24
Weissenberg 1971   6  0.7526  0.0013  0.1713  0.5328  0.2617  0.37
Average   2  0.811  0.361  0.352  0.7834  0.0922  0.26
Random 1    66  -0.0444  0.0066  0.0166  0.0159  0.0366  0.02
Random 2   64  0.0452  0.0064  0.0364  0.0330  0.1053  0.05
Random 3   65  -0.0162  0.0065  0.0265  0.0227  0.1556  0.05

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).