Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.1927  0.0020  0.0620  0.3668  0.0330  0.10
Anderszewski 2003   29  0.2328  0.0042  0.0543  0.1569  0.0341  0.07
Ashkenazy 1981   20  0.2629  0.0041  0.0736  0.2087  0.0247  0.06
Bacha 2000   71  0.0130  0.0080  0.0385  0.0389  0.0278  0.02
Badura 1965   39  0.2031  0.0022  0.0625  0.3264  0.0428  0.11
Barbosa 1983   54  0.1132  0.0058  0.0563  0.0577  0.0352  0.04
Biret 1990   43  0.1733  0.0049  0.0477  0.0480  0.0275  0.03
Blet 2003   18  0.279  0.0017  0.0617  0.4172  0.0327  0.11
Block 1995   70  0.0118  0.0024  0.0641  0.1684  0.0246  0.06
Blumental 1952   12  0.3034  0.008  0.139  0.4514  0.326  0.38
Boshniakovich 1969   60  0.0635  0.0061  0.0566  0.0588  0.0273  0.03
Brailowsky 1960   87  -0.1719  0.0087  0.0384  0.0390  0.0279  0.02
Bunin 1987   10  0.3036  0.0012  0.0711  0.4354  0.0519  0.15
Bunin 1987b   11  0.3010  0.0013  0.0812  0.4354  0.0518  0.15
Chiu 1999   55  0.1037  0.0065  0.0556  0.0586  0.0263  0.03
Cohen 1997   89  -0.2338  0.0088  0.0189  0.0190  0.0290  0.01
Cortot 1951   14  0.3039  0.0010  0.0813  0.4337  0.1911  0.29
Csalog 1996   90  -0.2340  0.0090  0.0190  0.0190  0.0289  0.01
Czerny 1949   28  0.2341  0.009  0.088  0.4535  0.209  0.30
Czerny 1990   40  0.1911  0.0016  0.1014  0.4363  0.0423  0.13
Duchoud 2007   6  0.3442  0.0011  0.0618  0.4165  0.0422  0.13
Ezaki 2006   30  0.2343  0.0029  0.0623  0.3382  0.0235  0.08
Falvay 1989   85  -0.1444  0.0084  0.0287  0.0288  0.0280  0.02
Farrell 1958   26  0.2445  0.0045  0.0842  0.1670  0.0340  0.07
Ferenczy 1958   58  0.0846  0.0043  0.0545  0.1150  0.0442  0.07
Fliere 1977   50  0.122  0.0062  0.0555  0.0587  0.0261  0.03
Fou 1978   80  -0.0447  0.0079  0.0378  0.0390  0.0281  0.02
Francois 1956   57  0.0948  0.0035  0.0637  0.1949  0.0531  0.10
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  0.635  0.002  0.582  0.752  0.672  0.71
Garcia 2007   33  0.226  0.0047  0.0557  0.0568  0.0354  0.04
Garcia 2007b   22  0.2620  0.0037  0.0632  0.2219  0.2214  0.22
Gierzod 1998   31  0.2249  0.0039  0.0739  0.1964  0.0338  0.08
Gornostaeva 1994   46  0.1650  0.0025  0.0626  0.3065  0.0334  0.09
Groot 1988   69  0.0251  0.0053  0.0559  0.0584  0.0356  0.04
Harasiewicz 1955   52  0.1212  0.0052  0.0564  0.0580  0.0357  0.04
Hatto 1993   17  0.2752  0.0054  0.0475  0.0480  0.0277  0.03
Hatto 1997   15  0.3053  0.0046  0.0651  0.0675  0.0353  0.04
Horowitz 1949   68  0.0313  0.0073  0.0652  0.0687  0.0270  0.03
Indjic 1988   19  0.2754  0.0055  0.0653  0.0679  0.0272  0.03
Kapell 1951   42  0.1855  0.0038  0.0728  0.2745  0.0916  0.16
Kissin 1993   83  -0.1121  0.0078  0.0382  0.0390  0.0185  0.02
Kushner 1989   44  0.1756  0.0050  0.0473  0.0483  0.0267  0.03
Luisada 1991   59  0.0857  0.0067  0.0569  0.0589  0.0259  0.03
Lushtak 2004   37  0.2158  0.0044  0.0644  0.1386  0.0248  0.05
Malcuzynski 1961   27  0.2459  0.0026  0.0822  0.3477  0.0329  0.10
Magaloff 1978   62  0.0660  0.0066  0.0570  0.0587  0.0264  0.03
Magin 1975   45  0.1761  0.0027  0.0640  0.1775  0.0243  0.06
Michalowski 1933   8  0.3362  0.007  0.177  0.4831  0.305  0.38
Milkina 1970   84  -0.1263  0.0086  0.0380  0.0390  0.0282  0.02
Mohovich 1999   61  0.0664  0.0051  0.0568  0.0582  0.0355  0.04
Moravec 1969   67  0.0365  0.0059  0.0567  0.0589  0.0258  0.03
Morozova 2008   34  0.2114  0.0040  0.0638  0.1988  0.0245  0.06
Neighaus 1950   9  0.3166  0.0015  0.0919  0.4067  0.0424  0.13
Niedzielski 1931   66  0.0367  0.0060  0.0558  0.0582  0.0266  0.03
Ohlsson 1999   38  0.2068  0.0048  0.0571  0.0586  0.0271  0.03
Osinska 1989   64  0.054  0.0057  0.0565  0.0585  0.0262  0.03
Pachmann 1927   82  -0.1022  0.0081  0.0386  0.0388  0.0284  0.02
Paderewski 1930   51  0.123  0.0032  0.0533  0.2137  0.1315  0.17
Perlemuter 1992   48  0.1469  0.0023  0.0529  0.2569  0.0332  0.09
Pierdomenico 2008   78  -0.0315  0.0076  0.0474  0.0489  0.0265  0.03
Poblocka 1999   53  0.1170  0.0056  0.0572  0.0585  0.0350  0.04
Rabcewiczowa 1932   36  0.2171  0.0018  0.0910  0.4439  0.1512  0.26
Rachmaninoff 1923   5  0.3772  0.006  0.176  0.5033  0.1710  0.29
Rangell 2001   65  0.0573  0.0072  0.0560  0.0588  0.0274  0.03
Richter 1976   86  -0.158  0.0085  0.0381  0.0390  0.0183  0.02
Rosen 1989   16  0.2874  0.0019  0.0816  0.4281  0.0233  0.09
Rosenthal 1930   21  0.2616  0.0021  0.0621  0.3541  0.1513  0.23
Rosenthal 1931   49  0.1475  0.0064  0.0746  0.0750  0.0544  0.06
Rosenthal 1931b   47  0.1676  0.0063  0.0648  0.0659  0.0449  0.05
Rosenthal 1931c   25  0.2477  0.0034  0.0730  0.2363  0.0339  0.08
Rosenthal 1931d   63  0.0578  0.0068  0.0562  0.0584  0.0276  0.03
Rossi 2007   74  0.0023  0.0031  0.0534  0.2157  0.0336  0.08
Rubinstein 1939   88  -0.1979  0.0089  0.0188  0.0190  0.0188  0.01
Rubinstein 1952   91  -0.3680  0.0091  0.0191  0.0190  0.0291  0.01
Rubinstein 1966   79  -0.0381  0.0082  0.0383  0.0391  0.0186  0.02
Schilhawsky 1960   13  0.3017  0.0030  0.0724  0.3358  0.0521  0.13
Shebanova 2002   81  -0.0982  0.0083  0.0379  0.0390  0.0287  0.02
Smith 1975   32  0.2224  0.0014  0.0915  0.4269  0.0326  0.11
Sokolov 2002   24  0.2583  0.0033  0.0527  0.2864  0.0425  0.11
Sztompka 1959   4  0.407  0.004  0.285  0.5225  0.364  0.43
Tomsic 1995   72  0.0184  0.0071  0.0649  0.0688  0.0269  0.03
Uninsky 1932   3  0.4185  0.003  0.303  0.5811  0.453  0.51
Uninsky 1971   7  0.3486  0.005  0.134  0.5337  0.217  0.33
Wasowski 1980   77  0.0025  0.0074  0.0554  0.0589  0.0260  0.03
Zak 1937   73  0.0087  0.0077  0.0561  0.0586  0.0351  0.04
Zak 1951   75  0.0026  0.0075  0.0476  0.0484  0.0368  0.03
Average   35  0.2188  0.0036  0.0731  0.2279  0.0337  0.08
Random 1   56  0.0989  0.0069  0.0650  0.069  0.4217  0.16
Random 2   76  0.0090  0.0070  0.0647  0.0613  0.3220  0.14
Random 3   23  0.2691  0.0028  0.0835  0.207  0.478  0.31

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).