Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.7629  0.0024  0.1020  0.4237  0.2629  0.33
Anderszewski 2003   5  0.826  0.046  0.135  0.611  0.613  0.61
Ashkenazy 1981   63  0.6486  0.0054  0.0475  0.0450  0.0586  0.04
Bacha 2000   57  0.6680  0.0034  0.0641  0.1514  0.3840  0.24
Badura 1965   71  0.5972  0.0083  0.0460  0.0466  0.0485  0.04
Barbosa 1983   79  0.5474  0.0061  0.0380  0.0323  0.2369  0.08
Biret 1990   14  0.774  0.073  0.157  0.573  0.635  0.60
Blet 2003   53  0.6878  0.0053  0.0470  0.0435  0.1870  0.08
Block 1995   45  0.6964  0.0041  0.0836  0.207  0.4332  0.29
Blumental 1952   62  0.6531  0.0013  0.0831  0.2517  0.2441  0.24
Boshniakovich 1969   32  0.7246  0.0052  0.0466  0.0439  0.2067  0.09
Brailowsky 1960   33  0.7281  0.0055  0.0478  0.0414  0.4050  0.13
Bunin 1987   87  0.3875  0.0088  0.0473  0.0473  0.0487  0.04
Bunin 1987b   88  0.3788  0.0087  0.0469  0.0468  0.0479  0.04
Chiu 1999   68  0.6082  0.0066  0.0464  0.0469  0.0388  0.03
Cohen 1997   86  0.4089  0.0084  0.0386  0.0343  0.1076  0.05
Cortot 1951   37  0.7156  0.0058  0.0649  0.0621  0.4146  0.16
Csalog 1996   82  0.5076  0.0073  0.0556  0.0531  0.2660  0.11
Czerny 1949   25  0.7516  0.0136  0.0532  0.2539  0.2838  0.26
Czerny 1990   6  0.813  0.079  0.1414  0.488  0.5011  0.49
Duchoud 2007   85  0.4883  0.0077  0.0388  0.0357  0.0584  0.04
Ezaki 2006   8  0.7912  0.0114  0.0816  0.4510  0.5212  0.48
Falvay 1989   64  0.6233  0.0075  0.0382  0.0325  0.4358  0.11
Farrell 1958   26  0.7521  0.018  0.204  0.622  0.641  0.63
Ferenczy 1958   51  0.6841  0.0064  0.0458  0.0422  0.3161  0.11
Fliere 1977   4  0.825  0.055  0.146  0.6018  0.3913  0.48
Fou 1978   30  0.7342  0.0021  0.0719  0.449  0.4719  0.45
Francois 1956   34  0.7215  0.0135  0.0640  0.169  0.5034  0.28
Friedman 1923   41  0.7150  0.0051  0.0462  0.0431  0.3757  0.12
Friedman 1923b   43  0.7020  0.0150  0.0650  0.0630  0.3847  0.15
Friedman 1930   31  0.7338  0.0056  0.0555  0.0530  0.3949  0.14
Garcia 2007   19  0.7660  0.0022  0.0922  0.418  0.5416  0.47
Garcia 2007b   27  0.7410  0.0218  0.0915  0.477  0.5510  0.51
Gierzod 1998   3  0.832  0.084  0.143  0.6213  0.487  0.55
Gornostaeva 1994   23  0.7522  0.0140  0.0639  0.169  0.4436  0.27
Groot 1988   46  0.6940  0.0031  0.1030  0.305  0.5323  0.40
Harasiewicz 1955   22  0.7624  0.0128  0.0827  0.3430  0.2237  0.27
Hatto 1993   49  0.6852  0.0046  0.0648  0.0629  0.2854  0.13
Hatto 1997   42  0.7036  0.0047  0.0746  0.0732  0.2452  0.13
Horowitz 1949   48  0.6943  0.0059  0.0471  0.0437  0.3259  0.11
Indjic 1988   40  0.7166  0.0043  0.0642  0.1431  0.2542  0.19
Kapell 1951   44  0.7027  0.0027  0.0824  0.3624  0.1839  0.25
Kissin 1993   21  0.7647  0.0017  0.0812  0.5018  0.4317  0.46
Kushner 1989   20  0.7613  0.0126  0.0923  0.3612  0.4822  0.42
Luisada 1991   24  0.7568  0.0020  0.0718  0.449  0.4221  0.43
Lushtak 2004   50  0.6844  0.0042  0.0643  0.1319  0.2843  0.19
Malcuzynski 1961   69  0.6045  0.0071  0.0472  0.0429  0.2363  0.10
Magaloff 1978   28  0.7448  0.0038  0.0735  0.213  0.5426  0.34
Magin 1975   56  0.6749  0.0048  0.0552  0.0571  0.0478  0.04
Michalowski 1933   70  0.5926  0.0076  0.0384  0.0356  0.0582  0.04
Milkina 1970   2  0.8314  0.012  0.142  0.624  0.622  0.62
Mohovich 1999   11  0.787  0.037  0.1311  0.535  0.666  0.59
Moravec 1969   72  0.5853  0.0074  0.0387  0.0326  0.3462  0.10
Morozova 2008   60  0.6565  0.0057  0.0459  0.0459  0.0483  0.04
Neighaus 1950   15  0.7761  0.0025  0.0925  0.3626  0.3825  0.37
Niedzielski 1931   39  0.7170  0.0033  0.0537  0.2023  0.4330  0.29
Ohlsson 1999   47  0.6934  0.0049  0.0647  0.0636  0.1764  0.10
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   66  0.6258  0.0086  0.0467  0.0457  0.0481  0.04
Paderewski 1930   61  0.6590  0.0062  0.0476  0.0422  0.3456  0.12
Perlemuter 1992   17  0.7618  0.0119  0.0817  0.4412  0.4618  0.45
Pierdomenico 2008   77  0.5628  0.0063  0.0463  0.0411  0.4451  0.13
Poblocka 1999   54  0.6755  0.0044  0.0644  0.1336  0.1944  0.16
Rabcewiczowa 1932   58  0.6663  0.0060  0.0477  0.0445  0.0872  0.06
Rachmaninoff 1923   16  0.7617  0.0123  0.0829  0.3318  0.3428  0.33
Rangell 2001   83  0.4984  0.0067  0.0551  0.0520  0.3653  0.13
Richter 1976   84  0.4977  0.0085  0.0383  0.0360  0.0580  0.04
Rosen 1989   9  0.7851  0.0010  0.1310  0.547  0.558  0.54
Rosenthal 1930   73  0.5857  0.0078  0.0385  0.0335  0.1273  0.06
Rosenthal 1931   76  0.5632  0.0079  0.0479  0.0428  0.2565  0.10
Rosenthal 1931b   75  0.5739  0.0080  0.0381  0.0329  0.2171  0.08
Rosenthal 1931c   80  0.5371  0.0082  0.0468  0.0433  0.1968  0.09
Rosenthal 1931d   74  0.5787  0.0081  0.0474  0.0425  0.2566  0.10
Rossi 2007   35  0.7211  0.0132  0.0634  0.222  0.6124  0.37
Rubinstein 1939   52  0.6830  0.0045  0.0645  0.133  0.5535  0.27
Rubinstein 1952   81  0.5037  0.0068  0.0461  0.0425  0.4055  0.13
Rubinstein 1966   36  0.7235  0.0039  0.0833  0.237  0.5127  0.34
Schilhawsky 1960   55  0.6719  0.0137  0.0638  0.1945  0.1445  0.16
Shebanova 2002   13  0.789  0.0212  0.129  0.5522  0.3620  0.44
Smith 1975   12  0.7823  0.0115  0.1021  0.413  0.5314  0.47
Sokolov 2002   78  0.5473  0.0072  0.0553  0.0554  0.0477  0.04
Sztompka 1959   7  0.798  0.0211  0.208  0.5619  0.4015  0.47
Tomsic 1995   65  0.6259  0.0070  0.0457  0.0413  0.5248  0.14
Uninsky 1932   59  0.6669  0.0065  0.0465  0.0455  0.0675  0.05
Uninsky 1971   67  0.6079  0.0069  0.0554  0.0559  0.0674  0.05
Wasowski 1980   10  0.7825  0.0116  0.0813  0.492  0.549  0.51
Zak 1937   29  0.7367  0.0029  0.1126  0.3425  0.2431  0.29
Zak 1951   38  0.7154  0.0030  0.1028  0.3326  0.2433  0.28
Average   1  0.881  0.421  0.421  0.757  0.504  0.61
Random 1   91  -0.2362  0.0090  0.0190  0.0146  0.0689  0.02
Random 2   89  -0.2385  0.0091  0.0191  0.0183  0.0290  0.01
Random 3   90  -0.2391  0.0089  0.0189  0.0183  0.0291  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).