Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.7124  0.012  0.128  0.4911  0.396  0.44
Anderszewski 2003   76  0.2880  0.0074  0.0373  0.0383  0.0285  0.02
Ashkenazy 1981   62  0.4075  0.0046  0.0646  0.0677  0.0368  0.04
Bacha 2000   64  0.4051  0.0058  0.0368  0.0335  0.1852  0.07
Badura 1965   33  0.5569  0.0038  0.0931  0.2925  0.3124  0.30
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   27  0.5715  0.0113  0.079  0.4416  0.3112  0.37
Blet 2003   1  0.751  0.281  0.272  0.582  0.631  0.60
Block 1995   79  0.2514  0.0284  0.0283  0.0280  0.0386  0.02
Blumental 1952   77  0.2858  0.0072  0.0376  0.0365  0.0480  0.03
Boshniakovich 1969   61  0.4122  0.0166  0.0463  0.0442  0.1353  0.07
Brailowsky 1960   58  0.4359  0.0069  0.0461  0.0478  0.0462  0.04
Bunin 1987   15  0.6357  0.0028  0.0920  0.3933  0.2620  0.32
Bunin 1987b   14  0.6347  0.0027  0.0619  0.3933  0.2619  0.32
Chiu 1999   5  0.676  0.053  0.137  0.512  0.602  0.55
Cohen 1997   81  0.2441  0.0073  0.0466  0.0442  0.1254  0.07
Cortot 1951   57  0.4487  0.0050  0.0457  0.0450  0.0660  0.05
Csalog 1996   38  0.533  0.0612  0.0723  0.3711  0.478  0.42
Czerny 1949   28  0.5788  0.0042  0.0744  0.1847  0.0742  0.11
Czerny 1990   24  0.5931  0.0039  0.0937  0.2468  0.0443  0.10
Duchoud 2007   10  0.644  0.067  0.124  0.528  0.484  0.50
Ezaki 2006   13  0.6366  0.0022  0.0711  0.4334  0.1827  0.28
Falvay 1989   23  0.5976  0.0041  0.0642  0.1962  0.0446  0.09
Farrell 1958   56  0.4560  0.0061  0.0372  0.0365  0.0475  0.03
Ferenczy 1958   37  0.5489  0.0036  0.0635  0.2534  0.2629  0.25
Fliere 1977   12  0.632  0.096  0.125  0.5223  0.2711  0.37
Fou 1978   45  0.495  0.058  0.1133  0.2839  0.1933  0.23
Francois 1956   4  0.6716  0.0116  0.0816  0.4025  0.2621  0.32
Friedman 1923   87  0.0932  0.0081  0.0282  0.0257  0.0681  0.03
Friedman 1923b   86  0.1140  0.0080  0.0377  0.0363  0.0569  0.04
Friedman 1930   82  0.2470  0.0070  0.0464  0.0469  0.0466  0.04
Garcia 2007   83  0.2446  0.0078  0.0281  0.0250  0.0578  0.03
Garcia 2007b   88  0.0750  0.0090  0.0188  0.0185  0.0291  0.01
Gierzod 1998   51  0.4774  0.0064  0.0460  0.0463  0.0467  0.04
Gornostaeva 1994   42  0.5271  0.0049  0.0550  0.0547  0.0559  0.05
Groot 1988   7  0.6523  0.0110  0.083  0.5222  0.3210  0.41
Harasiewicz 1955   50  0.4744  0.0053  0.0462  0.0447  0.0570  0.04
Hatto 1993   73  0.2910  0.0233  0.1141  0.2227  0.2234  0.22
Hatto 1997   67  0.3726  0.0131  0.0636  0.2525  0.2928  0.27
Horowitz 1949   65  0.3961  0.0062  0.0459  0.0478  0.0377  0.03
Indjic 1988   70  0.3313  0.0232  0.0939  0.2325  0.2632  0.24
Kapell 1951   25  0.5877  0.0037  0.0830  0.3140  0.1831  0.24
Kissin 1993   48  0.4764  0.0063  0.0451  0.0455  0.0565  0.04
Kushner 1989   43  0.4990  0.0065  0.0647  0.0660  0.0457  0.05
Luisada 1991   59  0.4229  0.0155  0.0453  0.0446  0.0656  0.05
Lushtak 2004   8  0.6517  0.014  0.116  0.5121  0.359  0.42
Malcuzynski 1961   47  0.4872  0.0056  0.0455  0.0481  0.0376  0.03
Magaloff 1978   66  0.3835  0.0059  0.0371  0.0351  0.0471  0.03
Magin 1975   85  0.2062  0.0085  0.0284  0.0279  0.0283  0.02
Michalowski 1933   72  0.3056  0.0048  0.0549  0.0540  0.1647  0.09
Milkina 1970   52  0.4678  0.0057  0.0370  0.0351  0.0563  0.04
Mohovich 1999   16  0.629  0.0311  0.1013  0.4326  0.2616  0.33
Moravec 1969   46  0.4991  0.0068  0.0465  0.0462  0.0461  0.04
Morozova 2008   36  0.5437  0.0030  0.0734  0.2841  0.1137  0.18
Neighaus 1950   34  0.5519  0.0120  0.0821  0.3842  0.1630  0.25
Niedzielski 1931   69  0.3453  0.0071  0.0467  0.0485  0.0274  0.03
Ohlsson 1999   30  0.5734  0.0025  0.0612  0.4328  0.2222  0.31
Osinska 1989   32  0.5563  0.0044  0.0645  0.1751  0.0545  0.09
Pachmann 1927   18  0.6212  0.029  0.0910  0.442  0.613  0.52
Paderewski 1930   55  0.4582  0.0060  0.0374  0.0340  0.1058  0.05
Perlemuter 1992   17  0.6225  0.0140  0.0932  0.2937  0.1236  0.19
Pierdomenico 2008   60  0.4185  0.0075  0.0375  0.0366  0.0373  0.03
Poblocka 1999   29  0.5745  0.0018  0.1015  0.4125  0.3014  0.35
Rabcewiczowa 1932   31  0.5530  0.0129  0.0727  0.3325  0.3217  0.32
Rachmaninoff 1923   44  0.4939  0.0052  0.0458  0.0468  0.0372  0.03
Rangell 2001   63  0.4049  0.0067  0.0454  0.0422  0.2344  0.10
Richter 1976   53  0.4643  0.0051  0.0456  0.0447  0.0564  0.04
Rosen 1989   54  0.4520  0.0147  0.0548  0.0543  0.1548  0.09
Rosenthal 1930   68  0.3783  0.0076  0.0369  0.0372  0.0379  0.03
Rosenthal 1931   75  0.2973  0.0082  0.0280  0.0277  0.0284  0.02
Rosenthal 1931b   84  0.2167  0.0088  0.0189  0.0175  0.0388  0.02
Rosenthal 1931c   71  0.3086  0.0079  0.0278  0.0284  0.0289  0.02
Rosenthal 1931d   80  0.2538  0.0089  0.0190  0.0180  0.0290  0.01
Rossi 2007   78  0.2768  0.0083  0.0287  0.0280  0.0282  0.02
Rubinstein 1939   74  0.2927  0.0177  0.0279  0.0231  0.2950  0.08
Rubinstein 1952   41  0.5228  0.0154  0.0452  0.0432  0.2149  0.09
Rubinstein 1966   26  0.577  0.0421  0.0817  0.398  0.535  0.45
Schilhawsky 1960   19  0.6233  0.0015  0.0725  0.3742  0.1135  0.20
Shebanova 2002   35  0.5555  0.0035  0.0629  0.3230  0.2626  0.29
Smith 1975   20  0.6181  0.0034  0.0928  0.3250  0.0540  0.13
Sokolov 2002   39  0.5254  0.0043  0.0638  0.2349  0.0641  0.12
Sztompka 1959   40  0.5265  0.0045  0.0943  0.1839  0.1639  0.17
Tomsic 1995   22  0.6036  0.0026  0.0524  0.3730  0.2225  0.29
Uninsky 1932   21  0.6118  0.0123  0.0726  0.3529  0.3215  0.33
Uninsky 1971   6  0.6548  0.0014  0.0714  0.4320  0.427  0.42
Wasowski 1980   49  0.4742  0.0024  0.0740  0.2336  0.1238  0.17
Zak 1937   11  0.6311  0.0219  0.1222  0.3726  0.2718  0.32
Zak 1951   9  0.6521  0.0117  0.1018  0.3924  0.3313  0.36
Average   3  0.678  0.045  0.121  0.6139  0.1523  0.30
Random 1   89  -0.0152  0.0086  0.0286  0.0222  0.3051  0.08
Random 2   90  -0.0684  0.0087  0.0285  0.0229  0.1955  0.06
Random 3   91  -0.1079  0.0091  0.0191  0.0159  0.0487  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).