Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.7745  0.0011  0.095  0.4714  0.358  0.41
Anderszewski 2003   72  0.4465  0.0072  0.0451  0.0473  0.0380  0.03
Ashkenazy 1981   48  0.5874  0.0040  0.0540  0.1367  0.0358  0.06
Bacha 2000   63  0.4960  0.0053  0.0466  0.0433  0.2044  0.09
Badura 1965   42  0.6054  0.0035  0.0535  0.1618  0.3824  0.25
Barbosa 1983   54  0.5569  0.0050  0.0550  0.0544  0.1745  0.09
Biret 1990   8  0.762  0.132  0.131  0.593  0.522  0.55
Blet 2003   34  0.6457  0.0041  0.0444  0.0865  0.0457  0.06
Block 1995   41  0.6144  0.0058  0.0460  0.0427  0.2443  0.10
Blumental 1952   67  0.479  0.0219  0.0821  0.3012  0.3318  0.31
Boshniakovich 1969   25  0.6921  0.0125  0.0828  0.2318  0.3022  0.26
Brailowsky 1960   43  0.6075  0.0068  0.0545  0.0560  0.0463  0.04
Bunin 1987   66  0.4861  0.0075  0.0455  0.0460  0.0471  0.04
Bunin 1987b   65  0.4866  0.0074  0.0473  0.0479  0.0375  0.03
Chiu 1999   61  0.5067  0.0047  0.0464  0.0443  0.1056  0.06
Cohen 1997   75  0.4125  0.0161  0.0453  0.0415  0.4037  0.13
Cortot 1951   16  0.7218  0.0117  0.127  0.422  0.544  0.48
Csalog 1996   50  0.5640  0.0064  0.0459  0.0415  0.4436  0.13
Czerny 1949   2  0.791  0.171  0.173  0.5510  0.513  0.53
Czerny 1990   1  0.8120  0.016  0.096  0.4626  0.2517  0.34
Duchoud 2007   45  0.5963  0.0046  0.0461  0.0465  0.0469  0.04
Ezaki 2006   18  0.7123  0.0131  0.0817  0.3458  0.0438  0.12
Falvay 1989   19  0.7153  0.0028  0.0726  0.2535  0.1531  0.19
Farrell 1958   35  0.6313  0.0123  0.0727  0.246  0.3719  0.30
Ferenczy 1958   44  0.6019  0.0139  0.0536  0.1629  0.2829  0.21
Fliere 1977   6  0.7662  0.0015  0.1111  0.3843  0.1228  0.21
Fou 1978   53  0.556  0.0633  0.0638  0.1536  0.2232  0.18
Francois 1956   15  0.7312  0.029  0.099  0.3918  0.3114  0.35
Friedman 1923   87  0.0581  0.0087  0.0288  0.0274  0.0584  0.03
Friedman 1923b   86  0.0572  0.0088  0.0284  0.0264  0.0581  0.03
Friedman 1930   80  0.3151  0.0071  0.0375  0.0351  0.0566  0.04
Garcia 2007   82  0.2658  0.0084  0.0285  0.0280  0.0287  0.02
Garcia 2007b   85  0.1384  0.0085  0.0287  0.0272  0.0389  0.02
Gierzod 1998   26  0.6885  0.0026  0.0722  0.3024  0.2123  0.25
Gornostaeva 1994   3  0.7810  0.0210  0.1012  0.3818  0.3213  0.35
Groot 1988   22  0.6941  0.0038  0.0537  0.1648  0.0547  0.09
Harasiewicz 1955   68  0.4646  0.0057  0.0469  0.0465  0.0382  0.03
Hatto 1993   84  0.1986  0.0078  0.0381  0.0388  0.0288  0.02
Hatto 1997   81  0.2814  0.0156  0.0458  0.0449  0.0467  0.04
Horowitz 1949   60  0.5243  0.0067  0.0457  0.0472  0.0376  0.03
Indjic 1988   83  0.2087  0.0079  0.0467  0.0483  0.0278  0.03
Kapell 1951   24  0.6977  0.0030  0.0730  0.2132  0.2725  0.24
Kissin 1993   20  0.7033  0.0029  0.0623  0.2932  0.2321  0.26
Kushner 1989   4  0.787  0.027  0.0815  0.3722  0.3215  0.34
Luisada 1991   49  0.588  0.0221  0.0733  0.1741  0.1235  0.14
Lushtak 2004   56  0.5442  0.0034  0.0529  0.2263  0.0446  0.09
Malcuzynski 1961   13  0.7428  0.0120  0.0819  0.3232  0.1826  0.24
Magaloff 1978   23  0.6915  0.0137  0.0534  0.1648  0.0448  0.08
Magin 1975   74  0.4329  0.0077  0.0382  0.0377  0.0286  0.02
Michalowski 1933   71  0.4417  0.0162  0.0548  0.0544  0.0954  0.07
Milkina 1970   21  0.7027  0.0127  0.0716  0.3420  0.3416  0.34
Mohovich 1999   27  0.6734  0.0042  0.0439  0.1338  0.1139  0.12
Moravec 1969   12  0.7424  0.0113  0.1214  0.385  0.535  0.45
Morozova 2008   39  0.6249  0.008  0.0825  0.2629  0.1630  0.20
Neighaus 1950   36  0.6332  0.0024  0.0918  0.3334  0.2220  0.27
Niedzielski 1931   64  0.4950  0.0083  0.0283  0.0265  0.0385  0.02
Ohlsson 1999   32  0.6436  0.0045  0.0456  0.0443  0.1253  0.07
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   76  0.3988  0.0073  0.0374  0.0358  0.0477  0.03
Paderewski 1930   14  0.734  0.104  0.1213  0.386  0.447  0.41
Perlemuter 1992   58  0.5335  0.0066  0.0462  0.0482  0.0373  0.03
Pierdomenico 2008   30  0.6770  0.0052  0.0547  0.0540  0.1051  0.07
Poblocka 1999   10  0.7431  0.0016  0.098  0.4218  0.406  0.41
Rabcewiczowa 1932   9  0.7568  0.0014  0.1210  0.3816  0.419  0.39
Rachmaninoff 1923   73  0.4482  0.0070  0.0377  0.0352  0.0474  0.03
Rangell 2001   37  0.6330  0.0032  0.0731  0.2039  0.1433  0.17
Richter 1976   59  0.5255  0.0069  0.0470  0.0444  0.0759  0.05
Rosen 1989   7  0.763  0.103  0.142  0.583  0.641  0.61
Rosenthal 1930   47  0.5847  0.0063  0.0471  0.0456  0.0470  0.04
Rosenthal 1931   77  0.3883  0.0080  0.0379  0.0362  0.0479  0.03
Rosenthal 1931b   78  0.3589  0.0082  0.0378  0.0363  0.0483  0.03
Rosenthal 1931c   46  0.5864  0.0060  0.0549  0.0549  0.0662  0.05
Rosenthal 1931d   70  0.4578  0.0081  0.0468  0.0461  0.0472  0.04
Rossi 2007   69  0.4637  0.0051  0.0454  0.0413  0.2541  0.10
Rubinstein 1939   79  0.3148  0.0076  0.0380  0.0327  0.3442  0.10
Rubinstein 1952   33  0.6426  0.0148  0.0546  0.0522  0.4334  0.15
Rubinstein 1966   31  0.6422  0.0122  0.0924  0.2711  0.4812  0.36
Schilhawsky 1960   51  0.5659  0.0059  0.0452  0.0448  0.0660  0.05
Shebanova 2002   17  0.7152  0.0018  0.0720  0.3116  0.4610  0.38
Smith 1975   11  0.745  0.075  0.144  0.5318  0.2611  0.37
Sokolov 2002   40  0.6211  0.0212  0.0841  0.1353  0.0450  0.07
Sztompka 1959   28  0.6739  0.0036  0.0532  0.2031  0.2927  0.24
Tomsic 1995   38  0.6279  0.0043  0.0542  0.1160  0.0452  0.07
Uninsky 1932   62  0.4956  0.0065  0.0376  0.0351  0.0568  0.04
Uninsky 1971   52  0.5616  0.0144  0.0543  0.0956  0.0555  0.07
Wasowski 1980   29  0.6738  0.0049  0.0463  0.0412  0.3240  0.11
Zak 1937   55  0.5573  0.0054  0.0472  0.0459  0.0564  0.04
Zak 1951   57  0.5471  0.0055  0.0465  0.0449  0.0565  0.04
Random 1   90  -0.1990  0.0090  0.0190  0.0188  0.0290  0.01
Random 2   89  0.0076  0.0089  0.0286  0.0218  0.3049  0.08
Random 3   88  0.0480  0.0086  0.0289  0.0238  0.1361  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).