Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.4918  0.0011  0.1210  0.5181  0.0324  0.12
Anderszewski 2003   16  0.4828  0.0032  0.0734  0.2465  0.0335  0.08
Ashkenazy 1981   13  0.4964  0.0026  0.0919  0.3683  0.0328  0.10
Bacha 2000   61  0.3245  0.0069  0.0659  0.0684  0.0353  0.04
Badura 1965   22  0.465  0.0019  0.0817  0.3972  0.0425  0.12
Barbosa 1983   55  0.3529  0.0062  0.0655  0.0679  0.0369  0.04
Biret 1990   43  0.3719  0.0053  0.0651  0.0682  0.0373  0.04
Blet 2003   31  0.4330  0.0025  0.0829  0.2974  0.0331  0.09
Block 1995   65  0.2965  0.0017  0.0738  0.1784  0.0343  0.07
Blumental 1952   27  0.4446  0.0015  0.0818  0.3729  0.1710  0.25
Boshniakovich 1969   45  0.3720  0.0041  0.0739  0.1761  0.0439  0.08
Brailowsky 1960   74  0.2314  0.0081  0.0383  0.0381  0.0376  0.03
Bunin 1987   41  0.389  0.0037  0.0724  0.3148  0.0617  0.14
Bunin 1987b   47  0.3731  0.0038  0.0925  0.3048  0.0621  0.13
Chiu 1999   36  0.4032  0.0061  0.0652  0.0682  0.0359  0.04
Cohen 1997   85  0.0666  0.0090  0.0190  0.0188  0.0289  0.01
Cortot 1951   19  0.4767  0.0021  0.0716  0.4056  0.0519  0.14
Csalog 1996   87  0.0010  0.0084  0.0285  0.0286  0.0288  0.02
Czerny 1949   11  0.5168  0.005  0.187  0.5726  0.306  0.41
Czerny 1990   21  0.4669  0.0014  0.1011  0.4860  0.0418  0.14
Duchoud 2007   37  0.4033  0.0042  0.0641  0.1557  0.0438  0.08
Ezaki 2006   10  0.5147  0.0020  0.0712  0.4774  0.0323  0.12
Falvay 1989   84  0.0748  0.0088  0.0188  0.0186  0.0387  0.02
Farrell 1958   29  0.4470  0.0044  0.0742  0.1383  0.0346  0.06
Ferenczy 1958   56  0.3521  0.0039  0.0643  0.1256  0.0537  0.08
Fliere 1977   24  0.454  0.0033  0.0836  0.2279  0.0333  0.08
Fou 1978   71  0.2649  0.0073  0.0570  0.0587  0.0362  0.04
Francois 1956   62  0.3012  0.0049  0.0571  0.0580  0.0375  0.04
Friedman 1923   1  1.001  1.001  0.991  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.792  0.002  0.702  0.802  0.772  0.78
Garcia 2007   33  0.4250  0.0050  0.0475  0.0481  0.0382  0.03
Garcia 2007b   26  0.4451  0.0031  0.0732  0.2646  0.0626  0.12
Gierzod 1998   20  0.4671  0.0016  0.0915  0.4364  0.0422  0.13
Gornostaeva 1994   49  0.3772  0.0035  0.0737  0.2262  0.0432  0.09
Groot 1988   69  0.2773  0.0063  0.0560  0.0556  0.0474  0.04
Harasiewicz 1955   25  0.457  0.0040  0.0735  0.2370  0.0340  0.08
Hatto 1993   5  0.5734  0.0024  0.1123  0.3144  0.0914  0.17
Hatto 1997   3  0.5874  0.009  0.1120  0.3628  0.219  0.27
Horowitz 1949   52  0.3575  0.0060  0.0845  0.0869  0.0348  0.05
Indjic 1988   4  0.5735  0.0023  0.0922  0.3133  0.1511  0.22
Kapell 1951   46  0.3776  0.0030  0.0821  0.3448  0.0520  0.13
Kissin 1993   68  0.2736  0.0066  0.0566  0.0566  0.0468  0.04
Kushner 1989   38  0.3911  0.0054  0.0561  0.0587  0.0279  0.03
Luisada 1991   28  0.4437  0.0043  0.0644  0.1262  0.0441  0.07
Lushtak 2004   32  0.4352  0.0052  0.0747  0.0761  0.0452  0.05
Malcuzynski 1961   42  0.3777  0.0012  0.0931  0.2765  0.0427  0.10
Magaloff 1978   63  0.3078  0.0065  0.0564  0.0565  0.0460  0.04
Magin 1975   34  0.4153  0.0018  0.0827  0.2987  0.0234  0.08
Michalowski 1933   23  0.4679  0.0010  0.109  0.5232  0.297  0.39
Milkina 1970   72  0.2454  0.0071  0.0472  0.0485  0.0464  0.04
Mohovich 1999   58  0.333  0.0057  0.0565  0.0567  0.0472  0.04
Moravec 1969   77  0.2122  0.0070  0.0654  0.0668  0.0354  0.04
Morozova 2008   17  0.4838  0.0027  0.0728  0.2987  0.0236  0.08
Neighaus 1950   8  0.5413  0.007  0.158  0.5460  0.0515  0.16
Niedzielski 1931   39  0.3955  0.0029  0.0630  0.2739  0.1412  0.19
Ohlsson 1999   30  0.4480  0.0034  0.0933  0.2581  0.0330  0.09
Osinska 1989   40  0.3856  0.0046  0.0656  0.0658  0.0447  0.05
Pachmann 1927   78  0.2081  0.0083  0.0381  0.0378  0.0381  0.03
Paderewski 1930   59  0.328  0.0047  0.0474  0.0457  0.0467  0.04
Perlemuter 1992   48  0.3757  0.0036  0.0640  0.1677  0.0342  0.07
Pierdomenico 2008   81  0.1539  0.0080  0.0476  0.0479  0.0377  0.03
Poblocka 1999   53  0.3515  0.0045  0.0657  0.0676  0.0356  0.04
Rabcewiczowa 1932   57  0.3482  0.0048  0.0650  0.0669  0.0361  0.04
Rachmaninoff 1923   9  0.5423  0.008  0.116  0.5833  0.168  0.30
Rangell 2001   83  0.1483  0.0077  0.0380  0.0382  0.0383  0.03
Richter 1976   76  0.2284  0.0072  0.0562  0.0574  0.0366  0.04
Rosen 1989   18  0.4740  0.0013  0.0914  0.4659  0.0416  0.14
Rosenthal 1930   60  0.3258  0.0058  0.0658  0.0666  0.0451  0.05
Rosenthal 1931   75  0.2224  0.0076  0.0567  0.0572  0.0370  0.04
Rosenthal 1931b   73  0.2341  0.0075  0.0568  0.0587  0.0285  0.03
Rosenthal 1931c   70  0.2685  0.0067  0.0653  0.0686  0.0286  0.03
Rosenthal 1931d   80  0.1859  0.0078  0.0379  0.0372  0.0484  0.03
Rossi 2007   67  0.2886  0.0064  0.0473  0.0460  0.0458  0.04
Rubinstein 1939   79  0.1960  0.0082  0.0382  0.0385  0.0378  0.03
Rubinstein 1952   89  -0.0461  0.0089  0.0189  0.0187  0.0290  0.01
Rubinstein 1966   66  0.2942  0.0074  0.0477  0.0479  0.0471  0.04
Schilhawsky 1960   12  0.5116  0.0022  0.1213  0.4646  0.0713  0.18
Shebanova 2002   64  0.2987  0.0068  0.0746  0.0774  0.0449  0.05
Smith 1975   35  0.4125  0.0028  0.0626  0.2976  0.0329  0.09
Sokolov 2002   51  0.366  0.0051  0.0748  0.0787  0.0257  0.04
Sztompka 1959   7  0.5617  0.006  0.234  0.5929  0.285  0.41
Tomsic 1995   82  0.1588  0.0079  0.0478  0.0479  0.0380  0.03
Uninsky 1932   6  0.5643  0.003  0.353  0.648  0.543  0.59
Uninsky 1971   15  0.4926  0.004  0.215  0.5921  0.384  0.47
Wasowski 1980   54  0.3562  0.0059  0.0649  0.0686  0.0355  0.04
Zak 1937   44  0.3744  0.0056  0.0563  0.0582  0.0363  0.04
Zak 1951   50  0.3789  0.0055  0.0569  0.0578  0.0365  0.04
Random 1   90  -0.0763  0.0086  0.0187  0.0114  0.4344  0.07
Random 2   88  -0.0427  0.0085  0.0186  0.0122  0.2150  0.05
Random 3   86  0.0090  0.0087  0.0284  0.0227  0.2245  0.07

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).