Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.2969  0.0054  0.0472  0.0441  0.1446  0.07
Anderszewski 2003   74  0.2218  0.0075  0.0475  0.0476  0.0382  0.03
Ashkenazy 1981   9  0.4330  0.007  0.217  0.7018  0.565  0.63
Bacha 2000   82  0.1870  0.0080  0.0386  0.0380  0.0376  0.03
Badura 1965   23  0.3971  0.0018  0.1123  0.528  0.5710  0.54
Barbosa 1983   49  0.2937  0.0060  0.0560  0.0570  0.0554  0.05
Biret 1990   69  0.2472  0.0065  0.0565  0.0572  0.0472  0.04
Blet 2003   22  0.3914  0.0026  0.1324  0.4820  0.4717  0.47
Block 1995   18  0.4038  0.0020  0.1218  0.5529  0.3519  0.44
Blumental 1952   59  0.2831  0.0058  0.0561  0.0574  0.0557  0.05
Boshniakovich 1969   21  0.3927  0.0016  0.1316  0.5643  0.1628  0.30
Brailowsky 1960   44  0.3139  0.0047  0.0846  0.0839  0.1740  0.12
Bunin 1987   48  0.3073  0.0034  0.0737  0.2959  0.0542  0.12
Bunin 1987b   58  0.2874  0.0046  0.0748  0.0750  0.0649  0.06
Chiu 1999   24  0.3849  0.0029  0.0927  0.4235  0.1729  0.27
Cohen 1997   81  0.1875  0.0082  0.0287  0.0288  0.0288  0.02
Cortot 1951   84  0.1676  0.0083  0.0381  0.0376  0.0385  0.03
Csalog 1996   41  0.3328  0.0050  0.0651  0.0652  0.0650  0.06
Czerny 1949   87  0.1177  0.0087  0.0380  0.0382  0.0383  0.03
Czerny 1990   27  0.3719  0.0021  0.1421  0.5337  0.2722  0.38
Duchoud 2007   52  0.295  0.0042  0.0842  0.1639  0.1334  0.14
Ezaki 2006   76  0.2050  0.0079  0.0385  0.0385  0.0375  0.03
Falvay 1989   72  0.2320  0.0072  0.0562  0.0583  0.0362  0.04
Farrell 1958   60  0.2845  0.0049  0.0654  0.0654  0.0648  0.06
Ferenczy 1958   88  0.0951  0.0088  0.0479  0.0477  0.0469  0.04
Fliere 1977   4  0.4932  0.006  0.234  0.7329  0.3811  0.53
Fou 1978   28  0.3625  0.0025  0.1326  0.4658  0.0533  0.15
Francois 1956   75  0.2252  0.0055  0.0473  0.0449  0.0573  0.04
Friedman 1923   1  0.971  0.991  0.981  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.683  0.002  0.832  0.952  0.942  0.94
Garcia 2007   57  0.2829  0.0062  0.0650  0.0652  0.0556  0.05
Garcia 2007b   53  0.2978  0.0053  0.0556  0.0577  0.0474  0.04
Gierzod 1998   71  0.2346  0.0077  0.0469  0.0480  0.0384  0.03
Gornostaeva 1994   68  0.2553  0.0044  0.0645  0.1166  0.0447  0.07
Groot 1988   36  0.347  0.0036  0.0733  0.3552  0.0539  0.13
Harasiewicz 1955   20  0.404  0.0031  0.0830  0.3957  0.0536  0.14
Hatto 1993   32  0.3533  0.0033  0.0829  0.4060  0.0535  0.14
Hatto 1997   66  0.2679  0.0066  0.0653  0.0683  0.0368  0.04
Horowitz 1949   25  0.3821  0.0024  0.1419  0.549  0.638  0.58
Indjic 1988   34  0.3480  0.0035  0.0732  0.3752  0.0732  0.16
Kapell 1951   54  0.2981  0.0061  0.0652  0.0668  0.0553  0.05
Kissin 1993   29  0.3610  0.0032  0.0931  0.3741  0.2726  0.32
Kushner 1989   31  0.358  0.0038  0.1034  0.3468  0.0537  0.13
Luisada 1991   19  0.4054  0.0023  0.1320  0.5434  0.2423  0.36
Lushtak 2004   45  0.3182  0.0045  0.0744  0.1350  0.0545  0.08
Malcuzynski 1961   39  0.3355  0.0051  0.0563  0.0572  0.0464  0.04
Magaloff 1978   13  0.4256  0.0011  0.0915  0.5824  0.3816  0.47
Magin 1975   37  0.3357  0.0041  0.0741  0.1855  0.0544  0.09
Michalowski 1933   40  0.3358  0.0027  0.0939  0.2325  0.3827  0.30
Milkina 1970   79  0.1983  0.0074  0.0566  0.0586  0.0280  0.03
Mohovich 1999   64  0.2759  0.0068  0.0567  0.0567  0.0471  0.04
Moravec 1969   65  0.2622  0.0070  0.0474  0.0476  0.0377  0.03
Morozova 2008   42  0.336  0.0028  0.0936  0.3262  0.0538  0.13
Neighaus 1950   5  0.4634  0.004  0.308  0.682  0.644  0.66
Niedzielski 1931   26  0.3715  0.0012  0.1025  0.4715  0.4618  0.46
Ohlsson 1999   11  0.4284  0.0014  0.1314  0.5917  0.4115  0.49
Osinska 1989   38  0.3323  0.0043  0.0643  0.1657  0.0543  0.09
Pachmann 1927   12  0.422  0.0013  0.1122  0.528  0.619  0.56
Paderewski 1930   43  0.3211  0.0039  0.0940  0.2325  0.4425  0.32
Perlemuter 1992   33  0.3512  0.0037  0.0835  0.3326  0.3724  0.35
Pierdomenico 2008   56  0.2847  0.0064  0.0655  0.0655  0.0452  0.05
Poblocka 1999   35  0.3426  0.0040  0.0838  0.2352  0.0641  0.12
Rabcewiczowa 1932   86  0.1460  0.0085  0.0383  0.0384  0.0379  0.03
Rachmaninoff 1923   16  0.4040  0.0010  0.1011  0.6412  0.557  0.59
Rangell 2001   47  0.3085  0.0048  0.0747  0.0748  0.0651  0.06
Richter 1976   15  0.4135  0.0022  0.1017  0.5633  0.3021  0.41
Rosen 1989   10  0.4261  0.0017  0.169  0.6624  0.3020  0.44
Rosenthal 1930   61  0.289  0.0069  0.0476  0.0464  0.0470  0.04
Rosenthal 1931   83  0.1786  0.0084  0.0477  0.0475  0.0466  0.04
Rosenthal 1931b   77  0.1941  0.0078  0.0289  0.0270  0.0389  0.02
Rosenthal 1931c   70  0.2487  0.0063  0.0649  0.0660  0.0559  0.05
Rosenthal 1931d   78  0.1962  0.0076  0.0478  0.0449  0.0658  0.05
Rossi 2007   80  0.1824  0.0081  0.0384  0.0362  0.0561  0.04
Rubinstein 1939   73  0.2363  0.0073  0.0557  0.0589  0.0278  0.03
Rubinstein 1952   51  0.2964  0.0056  0.0468  0.0479  0.0386  0.03
Rubinstein 1966   46  0.3165  0.0059  0.0559  0.0580  0.0367  0.04
Schilhawsky 1960   55  0.2948  0.0052  0.0564  0.0561  0.0555  0.05
Shebanova 2002   7  0.4466  0.005  0.2212  0.6224  0.4613  0.53
Smith 1975   63  0.2742  0.0071  0.0471  0.0471  0.0463  0.04
Sokolov 2002   67  0.2616  0.0067  0.0470  0.0470  0.0460  0.04
Sztompka 1959   17  0.4043  0.0019  0.1110  0.6424  0.4214  0.52
Tomsic 1995   85  0.1567  0.0086  0.0382  0.0386  0.0381  0.03
Uninsky 1932   30  0.3668  0.0030  0.0828  0.4142  0.1430  0.24
Uninsky 1971   62  0.2788  0.0057  0.0558  0.0570  0.0465  0.04
Wasowski 1980   8  0.4417  0.009  0.245  0.7224  0.486  0.59
Zak 1937   6  0.4444  0.008  0.246  0.727  0.643  0.68
Zak 1951   14  0.4189  0.0015  0.1613  0.6216  0.4512  0.53
Average   3  0.5736  0.003  0.593  0.9057  0.0631  0.23
Random 1   89  -0.0690  0.0089  0.0288  0.0267  0.0287  0.02
Random 2   90  -0.0891  0.0090  0.0190  0.0191  0.0190  0.01
Random 3   91  -0.1113  0.0091  0.0191  0.0190  0.0191  0.01

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).